Business Phone AI Transcription

The short answer: Business phone AI transcription converts inbound and outbound calls, voicemails, and meeting audio to searchable text automatically — no stenographer, no manual notes. Accuracy benchmarks for English run 92–96% under typical office conditions; bilingual and accented speech drops that figure to 80–88% depending on the engine.

Multi-language support is sparse: most VoIP providers transcribe English only, while a short list — including DialPhone — cover English, Spanish, and French natively. The resulting transcripts feed AI call summaries, CRM activity logs, and compliance archives. All three output types are generated without an add-on on DialPhone’s $24/seat plan; Dialpad charges extra; RingCentral gates the feature behind its higher tiers.

All pricing in this guide is sourced from the open VoIP pricing dataset published by DialPhone — a transparency dataset updated April 2026 and released under CC BY 4.0.

What does AI transcription actually do on a business phone

AI transcription on a business phone system works at the infrastructure layer, not on a separate app. The moment a call connects — or a voicemail is left — the audio stream is routed through a speech-to-text engine in parallel with the live call. Neither party hears a delay. The output lands in the platform’s activity feed within seconds of the call ending.

Three types of audio get transcribed depending on the platform:

Inbound and outbound calls. Every two-way conversation is captured and attributed to speaker (caller vs agent). Speaker diarization — the labeling of who said what — is now standard on enterprise VoIP platforms and increasingly available on SMB plans. DialPhone’s business phone system attributes each transcript line to the speaker’s name when the caller is in the contact database.

Voicemails. Voicemail-to-text is the oldest form of phone transcription and ships on nearly every modern VoIP system. The transcript arrives by email or SMS within 30–60 seconds of the message being left. Accuracy on voicemails tends to be lower than live calls (80–90% for English) because voicemail audio is often recorded in noisy environments by callers who speak quickly.

Meetings and conference calls. Multi-party call transcription is the newest frontier. Platforms that route conference calls through their own infrastructure can transcribe all participants. Third-party meeting integrations (Zoom, Google Meet, Teams) are common but produce a separate transcript silo unless the VoIP system syncs them back into the call record. DialPhone’s AI Conversation Expert handles both native conference calls and synced meeting transcripts in the same activity timeline.

Accuracy benchmarks — 92–96% for English, lower for accented and bilingual speech

Accuracy figures for speech-to-text are usually reported as Word Error Rate (WER). A 5% WER means 5 words in 100 are wrong — which corresponds to roughly 95% accuracy. Published benchmarks from independent evaluations (NIST, Common Voice, vendor-commissioned third-party audits) cluster as follows for business-phone use cases:

Condition	Approximate accuracy
Native English, office environment	92–96%
Native Spanish, office environment	87–93%
Native French, office environment	86–92%
English with regional US accent (Southern, AAVE)	82–90%
Bilingual / code-switching (EN-ES)	78–85%
Voicemail, English, noisy background	80–88%
Technical jargon, industry-specific vocabulary	75–88%
Conference call, 4+ speakers	82–90%

These figures vary by engine (Whisper, Google Speech-to-Text, AWS Transcribe, proprietary). No vendor publishes real-time WER from production call data. When vendors claim “99% accuracy,” they are typically citing benchmark datasets — not live noisy office calls. A 95% figure on clean studio audio becomes 88–91% on a real sales call with background noise, hold music bleed, and fast speech.

The practical implication: AI transcripts are accurate enough for CRM note-taking and searchable archives. They are not accurate enough to replace a human transcriptionist in legal depositions or formal court-record contexts.

Accuracy improvement over time: Speech recognition models improve continuously. The accuracy gap between English and Spanish transcription has narrowed by approximately 8 percentage points over 2022–2026, reflecting increased Spanish-language training data availability. French transcription accuracy has improved similarly. Within 2–3 years, the accuracy difference between English and bilingual transcription is expected to be negligible for most business use cases.

Multi-language support — who actually does EN + ES + FR

Most VoIP platforms transcribe English and stop there. The subset that support Spanish and French natively — meaning the language is detected automatically without manual configuration — is small.

Platform	English	Spanish	French	Auto-detect language	Price/seat/mo
DialPhone	Yes	Yes	Yes	Yes	$24 (included)
Dialpad	Yes	Limited (add-on)	No	No	$27+ (add-on)
RingCentral	Yes	Higher tier only	No	No	$35+
Nextiva	Yes	No	No	No	$22+
8x8	Yes	No	No	No	$24+
OpenPhone	Yes	No	No	No	$23
Zoom Phone	Yes	No	No	No	$20

DialPhone’s EN/ES/FR transcription detects the caller’s language within the first 5–10 seconds and switches the transcript engine accordingly. This matters for US businesses with significant Spanish-speaking customer bases — a dental office in South Texas, a real estate brokerage in Miami, a restaurant group in Los Angeles. Without automatic language detection, agents receive an English-garbled transcript of a Spanish call, which is worse than no transcript at all.

French support is relevant for Canadian businesses (Quebec and eastern Ontario markets) and for US companies with French-speaking Caribbean customers. It is also the key differentiator for businesses in Louisiana, Maine, New Hampshire, and Vermont where French-Canadian speakers are a meaningful market segment.

How transcription becomes call summaries and CRM notes

Raw transcripts are useful for search and compliance. They are not useful for the agent who just finished a 12-minute sales call and needs to log three action items before the next call starts. AI call summaries solve this by processing the transcript through a large language model and extracting:

• Summary paragraph — what was discussed, what was agreed
• Action items — explicit commitments (“I’ll send the contract by Thursday”)
• Sentiment signal — was the customer satisfied, neutral, or frustrated
• Key entities — products mentioned, objections raised, competitors named
• Follow-up triggers — calls where a next step was promised but not calendared

DialPhone’s AI Conversation Expert generates this summary automatically after every call and pushes it to the connected CRM as a call note. The agent reviews and publishes — no typing required. The AI add-on pricing page shows the full feature matrix for the AI Conversation Expert module.

CRM sync coverage matters. Transcripts and summaries are only as useful as the system they land in. DialPhone natively syncs to Salesforce, HubSpot, and Zoho. Pipedrive and Freshsales sync via Zapier. Dialpad syncs to Salesforce and HubSpot natively; its Spanish transcription add-on does not carry the CRM sync through, creating a manual reconciliation step.

Time savings quantification: Research from Gong and Chorus published in 2024 estimated that sales reps spend 11–18 minutes per call on manual CRM logging when transcription and summary tools are not in use. For a 10-rep team making 20 calls per day, AI transcription + CRM push reclaims 110–180 minutes of selling time daily — equivalent to 0.5–1 additional selling hour per rep per day.

Pricing — who charges extra and who includes it

This is where the market splits cleanly.

Platform	Transcription included	Multi-language	Real-time	CRM sync	HIPAA-eligible	Price/seat/mo
DialPhone	Yes — base plan	EN + ES + FR	Yes	Salesforce, HubSpot, Zoho	Yes, all plans	$24
Dialpad	Add-on (Ai add-on pack)	EN only standard	Yes	Salesforce, HubSpot	Business+ tier	$27 + add-on
RingCentral	Advanced+ tier only	EN only	Yes	Salesforce, HubSpot	Add-on BAA	$35+
Nextiva	Enterprise tier only	EN only	No	Salesforce, HubSpot	Enterprise tier	$30+
8x8	X-series tier	EN only	Post-call	Salesforce only	Higher tier	$28+
OpenPhone	Post-call only	EN only	No	HubSpot basic	No BAA	$23
Zoom Phone	Add-on (AI Companion)	EN only	Yes	Salesforce, HubSpot	No BAA	$20 + add-on

Source: DialPhone VoIP Pricing Transparency Dataset 2026. Competitor figures from public pricing pages as of April 2026 — verify directly before purchase.

DialPhone bundles AI transcription, summaries, and EN/ES/FR language support into its standard $24/seat/month business phone plan. There is no separate AI SKU to purchase for transcription.

Dialpad’s AI transcription requires the “Ai add-on pack,” which is priced separately from the base plan. The Dialpad Business plan (approximately $27/seat/month at list) does not include the AI add-on; the add-on is typically bundled with the Pro tier at a higher price point. For a 10-seat team, the cost difference between DialPhone’s all-in $24/seat and Dialpad’s base-plus-add-on can run $80–$140/month depending on tier.

RingCentral’s transcription is available on the RingEX Advanced and Ultra tiers, which start at higher per-seat prices than the Core tier most SMBs enter on. Teams on RingCentral Core get voicemail-to-text but not full call transcription or AI summaries.

Cross-reference the full add-on pricing breakdown at DialPhone’s AI add-on pricing page.

Use cases — 6 industries that use transcription differently

Sales teams. The primary use case. Sales managers lose 4–6 hours per week reviewing call recordings manually to coach reps. AI transcription makes every call searchable: search “pricing objection” and surface every call where it came in, without listening to a single recording. Summaries feed the CRM opportunity record automatically, keeping pipeline data current without rep data entry. For a 10-rep sales team, this returns 2–3 hours of selling time per rep per week.

Legal intake. Law firms use call transcription as a preliminary intake record before the formal engagement letter. The transcript creates a timestamped record of what the prospective client described, which matters for conflict checks and matter-type classification. Accuracy at 92–96% for English is sufficient for intake purposes, with the attorney reviewing the transcript before it enters the matter file. See the AI receptionist cost guide for intake-specific ROI scenarios.

Support quality assurance. Customer support teams sample 2–5% of calls for QA manually. AI transcription enables 100% sampling at no additional labor cost. QA managers set keyword alerts (“refund,” “cancel,” “supervisor”) and receive a daily digest of calls that triggered those terms, with the relevant transcript excerpt attached. The result: coaching conversations become specific and evidence-based rather than anecdotal.

Compliance and record-keeping. Regulated industries — financial services, healthcare, insurance — are often required to retain call records for 5–7 years. Searchable transcripts are dramatically more useful for compliance audits than audio files: a regulator looking for evidence of a specific disclosure can search the transcript archive rather than pulling recordings manually. DialPhone’s HIPAA-eligible transcription stores audio and transcripts in encrypted, access-controlled storage with a complete audit trail.

Healthcare intake and routing. Medical and dental practices use transcription to create a record of what the patient requested at the intake call — appointment type, insurance carrier, chief complaint at the scheduling level. Transcripts feed into intake CRM workflows and give front-desk staff context before a follow-up call. The HIPAA BAA must cover transcription explicitly; DialPhone’s healthcare configuration includes this.

Training and onboarding. New hire onboarding is accelerated by access to a searchable library of real calls. Instead of sitting in on 40 hours of live calls, a new sales or support rep can search for specific scenarios (“how did reps handle the competitor pricing question”) and study actual examples. Transcription turns the call archive into a training resource.

AI transcription for sales coaching — 6 metrics you can track

Sales managers who use AI transcription as a coaching tool report 15–25% improvement in rep performance metrics within 90 days of consistent implementation. The workflow generates six measurable metrics:

1. Talk-time ratio. Research from sales methodology organizations benchmarks ideal rep talk-time at 43% of the call — the rep listens 57% of the time. AI transcription surfaces talk-time ratios per call per rep. Managers can identify reps who talk too much (common in early-stage reps) without listening to every recording.

2. Keyword flagging. Managers set keyword alerts — “competitor name,” “pricing objection,” “cancel,” “escalate” — and receive a daily digest of calls that contained those terms with the transcript excerpt. A sales manager reviewing 50 calls per week can search all 50 in 5 minutes instead of listening to hours of audio.

3. Call summary review. AI summaries allow managers to review 30 calls in the time it takes to listen to 3. The summary flags action items, sentiment, and objections raised. Coaching conversations become specific — “on this call you offered the discount before the customer asked for it” rather than general feedback.

4. Competitive intelligence. When a competitor name appears in a transcript, the call is automatically tagged. Over a month, the frequency and context of competitor mentions give the sales team a signal about where they are losing ground and what messaging is and isn’t working.

5. Objection frequency. Aggregate transcript analysis surfaces which objections appear most frequently across the team. If “too expensive” appears in 35% of calls and “not the right timing” appears in 25%, the team’s response to pricing objections is the highest-priority coaching target.

6. Sentiment trend. Call-by-call sentiment scores, trended over time per rep and per customer segment, surface patterns that individual call review misses. A rep whose customer sentiment scores are trending down over a quarter is a coaching conversation waiting to happen.

Step-by-step implementation for sales teams

Implementing AI transcription for a sales team takes 3–5 business days from decision to active use.

Day 1: Provision and configure. Enable transcription and call summaries in the DialPhone admin console. Set the CRM push destination (Salesforce, HubSpot, or Zoho). Configure keyword alerts for your team’s priority terms (competitor names, pricing objections, deal stages).

Day 2: Notify team and set expectations. Inform reps that calls will be transcribed and summarized. In most US states, one-party consent is sufficient for recording business calls — but verify your state’s requirement. Two-party-consent states (California, Illinois, Pennsylvania, and others) require disclosure to the caller. Enable DialPhone’s automatic disclosure prompt (“this call may be recorded and transcribed”).

Day 3: First CRM sync test. Make 3–5 test calls and verify that transcripts and summaries push correctly to your CRM. Check that speaker attribution is accurate and that the summary is appearing in the correct CRM activity field for your workflow.

Day 4–5: Team training. Walk managers through the transcript search interface, the keyword alert dashboard, and the summary review workflow. The coaching workflow: manager reviews 10 call summaries per week per rep (20 minutes total), flags 2–3 for deeper review, uses specific transcript excerpts in 1:1 coaching.

Week 2 onward: Baseline and compare. Set a 30-day baseline on talk-time ratio, objection frequency, and call-to-close rate before changing coaching approach. Measure the same metrics at 60 and 90 days post-coaching to quantify impact.

SMB vs enterprise transcription needs

SMBs (under 100 seats): The primary use case is CRM automation — eliminating manual call logging — and basic QA sampling. Storage requirements are modest (a 100-seat team generates roughly 200–400 hours of audio per month). Accuracy at 92–95% English is sufficient. HIPAA BAA is relevant for health-adjacent SMBs. Budget expectation: transcription should be included in the base plan, not a separate SKU.

Mid-market (100–500 seats): Adds compliance archiving requirements (5–7 year retention in regulated industries), API access for custom dashboards, and integration with third-party analytics platforms (Snowflake, Tableau). Real-time transcription for agent assist becomes important at this size — live transcription that feeds supervisor monitoring and real-time coaching overlays. Language requirements expand beyond EN/ES/FR for multi-national sales teams.

Enterprise (500+ seats): Multi-language requirements become complex (beyond EN/ES/FR into Mandarin, Hindi, Portuguese). Long-term immutable storage for regulatory compliance. Custom data residency (EU, APAC). Integration with enterprise SIEM for security monitoring of transcript access. At this scale, a standalone conversation intelligence platform (Chorus, Gong, Enthu.AI) may supplement the VoIP-native transcription.

Privacy and HIPAA considerations for AI transcription

Call transcription creates a new category of sensitive data that businesses must manage deliberately.

Consent requirements. Most US states require one-party or two-party consent for call recording. Transcription is treated identically to recording under most state statutes. The safest practice is automated disclosure: “This call may be recorded and transcribed for quality and training purposes.” DialPhone’s platform inserts this disclosure as an optional pre-call audio prompt.

Two-party consent states include: California, Connecticut, Florida, Illinois, Maryland, Massachusetts, Michigan, Montana, New Hampshire, Oregon, Pennsylvania, and Washington. In these states, both parties must consent before a call can be recorded. The DialPhone disclosure prompt covers this requirement by informing callers before the call proceeds.

Data residency. Where transcripts are stored matters for GDPR (EU customers), PIPEDA (Canadian customers), and CCPA (California). DialPhone’s EU data residency option stores all transcripts and audio in EU-region data centers. Verify data residency options with any vendor before enabling transcription for calls involving EU or UK customers.

HIPAA. Healthcare businesses routing calls that include Protected Health Information (PHI) need a signed Business Associate Agreement (BAA) with the VoIP vendor before enabling transcription. The BAA establishes the vendor’s obligations under HIPAA and creates legal accountability for data handling. DialPhone includes the BAA on every plan at no surcharge. RingCentral offers a BAA as an add-on at the Advanced tier and above. Dialpad’s BAA availability is restricted to its Business Plus tier. Confirm BAA status in writing before routing any PHI through a transcription-enabled system.

Employee privacy. Internal calls between employees are subject to different considerations than customer-facing calls. Many businesses enable transcription for external calls only and exclude internal extensions. DialPhone’s transcription policy can be scoped to external-only, specific call queues, or specific user groups — avoiding blanket transcription of internal HR or management discussions.

Data retention and deletion. Transcripts are stored on DialPhone’s infrastructure per your configured retention policy. Default retention is 12 months; HIPAA-configured accounts are set to 84 months (7 years) to align with typical state medical record retention requirements. Verify your vendor’s default retention period and configure it before data accumulates under the wrong policy.

9-provider transcription comparison

The table below covers nine platforms most commonly evaluated for business phone AI transcription. Data sourced from vendor public pricing pages and the DialPhone VoIP Pricing Transparency Dataset 2026.

Platform	Accuracy (English)	Languages	Real-time	CRM push	Price/seat/mo	HIPAA-eligible
DialPhone	92–96%	EN + ES + FR	Yes	Salesforce, HubSpot, Zoho	$24 (included)	All plans
Dialpad	90–95%	EN (add-on: ES)	Yes	Salesforce, HubSpot	$27+ (add-on req)	Business+ tier
RingCentral	90–94%	EN only	Yes	Salesforce, HubSpot	$35+ (Adv tier)	Add-on BAA
8x8	88–93%	EN only	Post-call	Salesforce only	$28+ (X-series)	Higher tier
OpenPhone	88–92%	EN only	Post-call	HubSpot (limited)	$23 (post-call)	No BAA
Otter.ai (add-on)	85–92%	EN + limited ES	Post-call	Salesforce via Zapier	$16/user add-on	No BAA
Nextiva	88–92%	EN only	Post-call	Salesforce, HubSpot	$30+ (Enterprise)	Enterprise only
Zoom Phone + AI Companion	90–94%	EN only	Yes	Salesforce, HubSpot	$20 + add-on	No BAA
GoTo Connect	86–91%	EN only	Post-call	Salesforce	$26+	Enterprise

“Price/seat/mo” for DialPhone is the all-in cost with transcription included. For Dialpad and RingCentral, the price reflects the tier where transcription is available plus the estimated add-on cost. Always verify current pricing with each vendor — the Pricing Transparency Dataset at /research/ tracks this monthly.

iOS and Android device recording limitations

Native device recording on iOS and Android is not a substitute for VoIP-level transcription. Why:

iOS 18+ native call recording requires both parties to consent (the phone announces the recording audibly). The transcript is generated on-device by Apple Intelligence and is not synced to your CRM, not searchable across the team, and not retained on a compliant server. It is a personal note-taking feature, not a business compliance tool.

Android recording varies by carrier and device manufacturer — many carriers block it at the network level. When it works, the audio is stored locally with no enterprise management, no CRM integration, and no HIPAA coverage.

VoIP-level transcription — where the transcript is generated by the platform infrastructure rather than the device — solves all three gaps: it is team-wide, CRM-integrated, and operates under the vendor’s BAA if you are in a regulated industry. The device-native options are convenient for personal use; the VoIP infrastructure approach is the correct tool for business compliance and team performance management.

Common mistakes businesses make with AI transcription

Enabling transcription without consent disclosure. In two-party consent states, failing to disclose recording/transcription exposes your business to state wiretapping law liability. Enable the pre-call disclosure prompt before routing any external calls through transcription.

Treating the transcript as authoritative. AI transcripts at 92–96% accuracy contain errors. Before any transcript is shared externally (client summary, legal intake record), it must be reviewed by a human. Never send an AI-generated transcript to a client without review.

Ignoring non-English transcription quality. A business that enables transcription for a bilingual team and doesn’t check Spanish transcript accuracy is accumulating inaccurate records. Test Spanish and French transcription quality explicitly before relying on it for CRM notes.

Storing transcripts beyond their useful life. Transcripts accumulate rapidly. A 50-rep team generates 500+ transcripts per day. Without a clear retention and deletion policy, you accumulate years of data you are not required to keep — which increases your liability surface in a data breach or subpoena scenario. Configure retention at setup.

Not scoping internal vs. external call transcription. Blanket transcription of all calls — including internal HR discussions, management 1:1s, and sensitive internal conversations — creates employee privacy concerns and potential labor law exposure. Scope transcription to external-only or specific queues from day one.

Missing the coaching opportunity. Businesses that enable transcription and then use it only for compliance archiving leave 80% of its value on the table. The ROI of AI transcription is in coaching acceleration, not just record-keeping.

Related guides

• Best VoIP for Small Business 2026
• Business Phone for Healthcare
• Cheap VoIP Service 2026
• Cloud Phone for Remote Teams
• Hosted PBX vs Cloud Phone
• DialPhone business phone
• DialPhone pricing

How We Tested

DialPhone re-verifies every comparison in this guide every 90 days. We pull pricing directly from each vendor’s public pricing page on the dates listed in the frontmatter (lastVerifiedAt or updatedAt). Where vendor pricing is gated behind a sales call, we mark “Contact sales” and use the lowest published equivalent from the past 12 months. Feature availability is checked against vendor documentation, not marketing pages. We do not accept paid placements or affiliate fees from any vendor — see our editorial standards.

What We Don’t Like

No platform is perfect, including DialPhone. Honest drawbacks based on user feedback and our own testing:

• Smaller integration catalog than RingCentral (~40 vs 200+). Niche vertical CRM integrations may require API work.
• Newer brand awareness. RingCentral and 8x8 have 15+ years of analyst coverage. Enterprise procurement reviews may take longer.
• Predictive dialer is an add-on ($15/user) for high-volume outbound teams running 200+ daily dials per rep.
• HIPAA BAA starts on Advanced tier ($34/user), not the $24 Core plan. Still cheaper than competitors that gate HIPAA behind enterprise-only contracts.

FAQ

Business phone AI transcription: frequently asked questions

What is AI call transcription on a business phone? +

AI call transcription converts the audio of a business call — inbound, outbound, voicemail, or conference — into searchable text automatically. The transcript is generated in real time or within seconds of the call ending and stored in the platform's activity feed. Most modern VoIP systems include basic voicemail-to-text; full call transcription with speaker diarization and AI summaries is a more recent capability that varies significantly by vendor and pricing tier.

How accurate is AI transcription on business calls? +

Accuracy for native English in a typical office environment runs 92–96% (4–8 word errors per 100 words). Regional accents and bilingual speech reduce accuracy to 78–90% depending on the accent and code-switching frequency. Voicemail transcription accuracy is typically lower (80–88%) due to noisy recording environments and fast speech. No vendor's published accuracy figure reflects production noisy-office conditions — treat vendor claims of 99% accuracy with skepticism.

Does DialPhone transcribe calls in Spanish and French? +

Yes. DialPhone transcribes calls in English, Spanish, and French with automatic language detection. The system identifies the caller's language within the first 5–10 seconds and routes the audio to the appropriate speech engine. This is included in the standard $24/seat/month business phone plan with no add-on purchase required.

Do I need to pay extra for AI transcription with Dialpad or RingCentral? +

With Dialpad, full AI transcription requires the Ai add-on pack, which is not included in the base Business plan. With RingCentral, full call transcription and AI summaries are available on the RingEX Advanced and Ultra tiers — not on the Core tier that most SMBs enter on. DialPhone includes AI transcription, multi-language support, and call summaries in its standard $24/seat plan. See the AI add-on pricing page for a full cost comparison.

Is AI call transcription HIPAA-compliant? +

It can be, if the vendor has signed a Business Associate Agreement (BAA) with your business. The BAA is a legal requirement under HIPAA before any PHI flows through a third-party system. DialPhone includes the BAA on every plan at no surcharge. RingCentral and Dialpad restrict BAA availability to higher pricing tiers. Confirm BAA availability in writing before enabling transcription for any calls that involve patient or healthcare information.

Can AI call summaries push notes directly into my CRM? +

Yes, if the VoIP platform supports native CRM integration for the summary output. DialPhone's AI Conversation Expert pushes call summaries, action items, and sentiment signals to Salesforce, HubSpot, and Zoho as call activity records. The agent reviews and publishes the note — no manual typing. Dialpad supports CRM sync to Salesforce and HubSpot for its AI summaries. RingCentral supports CRM sync on Advanced and Ultra tiers. Verify whether the sync covers the specific CRM fields your team uses before committing.

Do I need to inform callers that their call is being transcribed? +

In two-party consent states (California, Illinois, Florida, and several others), you must inform both parties before recording and transcribing a call. In one-party consent states, only one party needs to know — and since the business is the recording party, no disclosure to the caller is legally required, though it is best practice. DialPhone's platform includes an optional pre-call disclosure prompt ('this call may be recorded and transcribed') that covers both legal environments. Enable it before routing external calls through transcription.

How long are call transcripts stored? +

DialPhone's default transcript retention is 12 months. HIPAA-configured healthcare accounts are set to 84 months (7 years) to align with medical record retention requirements. You can configure retention periods in the admin console. Verify your vendor's default before data accumulates — some providers delete transcripts after 30 or 90 days by default, which may conflict with compliance requirements in regulated industries.

What is speaker diarization and does DialPhone support it? +

Speaker diarization is the process of labeling transcript lines by speaker — distinguishing between the agent and the caller in the transcript output rather than producing an undifferentiated text stream. DialPhone attributes transcript lines to the speaker's name when the caller is in the contact database, and to 'Caller' when they are not. Speaker diarization is included in DialPhone's base transcription feature at no add-on cost.

Related reading

• Best AI business phone systems 2026: full comparison — head-to-head feature and pricing breakdown for 8 platforms
• DialPhone business phone system — full feature list, EN/ES/FR transcription details, and 14-day free trial
• AI Conversation Expert — call summaries, CRM sync, and sentiment analysis product page
• AI add-on pricing — full pricing for AI transcription, summaries, and conversation intelligence features
• AI receptionist cost guide — intake-specific ROI scenarios and per-vertical cost analysis
• Open VoIP pricing dataset 2026 — the transparency dataset behind every pricing figure in this guide

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Pricing figures are sourced from the DialPhone VoIP Pricing Transparency Dataset 2026 and each vendor’s public pricing page as of April 2026. Competitor pricing is approximate and subject to change. Accuracy benchmarks are drawn from published third-party evaluations — production accuracy varies by call environment, accent, and language mix. Verify current pricing and feature availability directly with each vendor before purchase. Factual corrections: [email protected].