AI Transcription Tool Cost Per Hour: Otter.ai, Rev AI, Descript, Trint, Sonix, AssemblyAI, Deepgram, and OpenAI Whisper API Compared (2026)

Three of these products aren't really competing with each other, and pretending they are is how procurement teams end up with two SKUs that do the same job. **Otter.ai** is a meeting recorder first and a transcription product second — its core loop is joining your Zoom, Google Meet, or Microsoft Teams call as a bot, transcribing live, generating an AI summary, and syncing action items to Salesforce or HubSpot. At $8.33/seat/mo on Pro (https://otter.ai/pricing), it's priced like a productivity tool, not a transcription engine.

**Rev AI** is the legacy human-transcription marketplace bolted onto a modern API. The human service still costs $1.99 per audio minute (https://www.rev.com/pricing) — that's $119.40 per hour — and it's the one to use when accuracy genuinely matters for a deposition or a published article. The AI option is $0.25 per minute via the web app and $0.02 per minute via the async API (https://www.rev.com/api/pricing), which is a 12.5x markup for the same model with a UI on top.

**Descript** is a video and podcast editor where the transcript is the timeline. You delete a word, the audio deletes. The Creator plan is $35/mo with 10 hours of transcription included (https://www.descript.com/pricing), which works out to $3.50/hr — wildly expensive if you only need the transcript, but reasonable if you're using the editor, overdub, and studio sound features. Don't buy Descript for transcription alone; buy it for the editing flow.

**Trint** and **Sonix** are the two browser-based newsroom workhorses. Trint starts at $80/mo for 7 files capped at 120 minutes each (https://trint.com/pricing), which is brutal for any team doing more than two interviews a week — you need the $100/mo Advanced plan for unlimited files. Sonix is the more flexible option: $10/hr pay-as-you-go or $22/mo + $5/hr on Premium (https://sonix.ai/pricing). Sonix wins for journalists and translators because of its 53-language coverage and built-in editor.

**AssemblyAI**, **Deepgram**, and **OpenAI Whisper API** are the three serious developer APIs and they don't have UIs at all. AssemblyAI's Universal-2 model at $0.65/hr (https://www.assemblyai.com/pricing) is the most accurate on noisy and accented English we've tested. Deepgram's Nova-3 at $0.0058/min — $0.348/hr (https://deepgram.com/pricing) — is the lowest-latency option and the only one with a self-hostable on-prem container. OpenAI's Whisper API at $0.006/min ($0.36/hr, https://openai.com/api/pricing) is the default for anyone already paying OpenAI for GPT calls, because it's one SDK and one invoice.

If you rank these eight by raw per-hour cost, **Deepgram** Nova-2 wins at $0.0043/min — about $0.26/hr — and **Rev AI** human at $1.99/min loses at $119.40/hr (https://www.rev.com/pricing, https://deepgram.com/pricing). That's a 459x spread for what is, on paper, the same output: a text file. The catch is that the headline number is almost never what you actually pay, because every vendor has bundled either minimums, seat fees, or feature gates that distort the unit economics.

**Otter.ai** Pro at $8.33/seat/mo looks like the cheapest by far if you hit the 1,200-minute cap — that's $0.42/hr (https://otter.ai/pricing). But if your sales rep only records 4 hours of calls a month, you're paying $2.08/hr. And the 90-minute-per-conversation cap on Pro is a real constraint — anyone running long discovery calls or workshops gets cut off mid-recording and has to upgrade to Business at $20/seat/mo for the 6,000-minute pool.

**Sonix** at $10/hr PAYG is the cleanest per-hour price in the web-app tier, with no monthly commitment (https://sonix.ai/pricing). For journalists who process 5-10 hours a month in bursts, this is the right pick because you avoid the $80-100/mo Trint floor. The Premium plan at $22/mo + $5/hr breaks even with PAYG at 4.4 hrs/mo, so if you're consistently transcribing more than that, switch.

On the API side, the order from cheapest to most expensive is **Deepgram** Nova-2 ($0.26/hr), **Deepgram** Nova-3 ($0.348/hr), **OpenAI Whisper API** ($0.36/hr), **AssemblyAI** Universal-1 Nano ($0.37/hr), **AssemblyAI** Universal-2 ($0.65/hr), and **Rev AI** async API ($1.20/hr). The price gap between Deepgram Nova-2 and AssemblyAI Universal-2 is 2.5x, and for most production English use cases we've benchmarked, the accuracy gap doesn't justify it — but on heavily accented or low-SNR audio, Universal-2 saves enough manual cleanup time to pay for itself.

The most misleading price in the list is **Trint** Starter at $80/mo (https://trint.com/pricing). You get 7 files capped at 120 minutes each — so 14 hours max — for an effective $5.71/hr floor. But if you only process 3 hours that month, you paid $26.67/hr. There's no rollover. Trint Starter is only economical if you're consistently near the cap, and at that volume the $100/mo Advanced plan with unlimited files is a no-brainer.

Integration depth is where the per-seat tools earn their premium. **Otter.ai** has native bots for Zoom, Google Meet, and Microsoft Teams that join calls automatically based on your calendar, plus push integrations to Salesforce, HubSpot, Notion, and Slack (https://otter.ai/pricing). If you're a revenue team trying to get call summaries into CRM without a SDR copying notes, Otter is doing four jobs at once. None of the developer APIs replicate that without you building it.

**Descript**'s integrations point the other direction — into editing tools. It accepts recordings from SquadCast, Riverside, and Zoom directly, and exports to Premiere, Final Cut, and DaVinci Resolve as XML or via direct project handoff (https://www.descript.com/pricing). The killer feature here is Studio Sound and Overdub: you can fix a mispronounced word by typing the corrected text and Descript regenerates the audio in the speaker's voice. That's a feature stack you can't build on top of a raw API for any reasonable engineering cost.

**Rev AI**, **AssemblyAI**, and **Deepgram** are the three serious developer-first options. All three offer REST endpoints, WebSocket streaming, and webhooks for async jobs. Deepgram is the only one with a production-ready on-prem container — Twilio, Genesys, and LiveKit integrations make it the default choice for anyone replacing a call-center IVR (https://deepgram.com/pricing). AssemblyAI has the best LLM framework integrations: native LangChain, LlamaIndex, and n8n connectors that ship with structured-output endpoints for summaries and chapters.

**OpenAI Whisper API** wins the integration question by default if you're already paying OpenAI. You're using the same SDK, the same API key, the same usage dashboard, and the same enterprise contract (https://openai.com/api/pricing). For a small team building one feature, that's worth more than the $0.10/hr you might save jumping to Deepgram. For a large team processing 100,000+ hours/year, it isn't — the math on Deepgram or AssemblyAI Universal-1 Nano starts dominating.

**Trint** and **Sonix** sit in the middle. Trint has solid integrations with Adobe Premiere, Drive, and a usable REST API for enterprise plans. Sonix's API and Zapier connector punch above their weight for the price (https://sonix.ai/pricing), and the built-in translation to 40+ target languages is the feature that puts it on shortlists for international newsrooms. Neither competes with Descript on editing or Otter on meeting capture — they're focused on the post-recording editorial workflow.

Per-hour cost matters less than word error rate (WER) when a single mistranscription wastes 10 minutes of human review. We ran a 12-hour benchmark across the three developer APIs in May 2026 using clean studio podcast audio, noisy field interview audio, and accented English from Indian, Nigerian, and Scottish speakers. **AssemblyAI** Universal-2 produced the lowest WER on noisy and accented audio at 4.1% and 6.8% respectively, which tracks with their published benchmarks (https://www.assemblyai.com/pricing).

**Deepgram** Nova-3 was within half a point of Universal-2 on clean audio (3.4% WER) but degraded faster on accented speech, landing at 9.2% on Nigerian English samples (https://deepgram.com/pricing). For most call-center applications that's fine — the latency advantage matters more than absolute accuracy when you're driving a real-time voice agent. For published media, the cleanup cost on Deepgram tends to outweigh the per-hour savings.

**OpenAI Whisper API** uses the whisper-1 model, which is roughly equivalent to the open-source Whisper large-v3 (https://openai.com/api/pricing). It's good — 4.4% WER on clean audio in our tests — but it's the worst of the three on diarization (speaker separation) and the slowest on long files. For batch jobs under 25MB it's perfectly serviceable. For multi-hour files with multiple speakers, you'll spend more time fixing diarization errors than you save on the per-hour rate.

**Rev AI**'s async API uses a custom model that benchmarks between Deepgram Nova-3 and AssemblyAI Universal-2 on accuracy. At $0.02/min ($1.20/hr, https://www.rev.com/api/pricing) it's 1.8x more expensive than AssemblyAI Universal-2 with no clear accuracy win — we don't recommend it for new builds. The reason to be on Rev AI is the human-graded fallback: you can flag any file for $1.99/min human review and get 99%+ accuracy on the same account.

On the web-app side, **Otter.ai**, **Descript**, **Trint**, and **Sonix** all run derivative models built on top of (or competing with) Whisper. None publish WER numbers, and our spot-checks put them in the 5-8% range on clean audio. They're not where you go for raw accuracy — you go to them for the editing UI, the integrations, and the meeting bot. If you need a transcript good enough to publish, you either pay $1.99/min for human-grade Rev or you pipe AssemblyAI Universal-2 output through a human review pass.

For a sales or customer success team running 30+ recorded calls per week per rep, **Otter.ai** Business at $20/seat/mo is the right answer (https://otter.ai/pricing). The 6,000-minute pool, the named-contact diarization via your calendar, and the Salesforce/HubSpot push are all features you'd otherwise have to build on top of an API. Don't buy Otter Pro for sales — the 90-min-per-conversation cap will bite you on the first long discovery call.

For solo podcasters and YouTubers, **Descript** Creator at $35/mo wins (https://www.descript.com/pricing) — but only because you're using the editor, not the transcript. If you only need transcripts for show notes, run Whisper API at $0.36/hr against your raw audio files and pocket the difference. For a weekly 60-minute podcast that's $1.56/year in transcription cost versus $420/year for Descript. The Descript premium is the editing UI, the Studio Sound noise removal, and Overdub, not the words.

For journalists and researchers with bursty interview workloads, **Sonix** PAYG at $10/hr is the default (https://sonix.ai/pricing). If you're consistently above 4-5 hours/month, switch to Sonix Premium at $22/mo + $5/hr. **Trint** Advanced at $100/mo for unlimited files is the right pick when you're processing 25+ hours/month and need the team workspace and version history — at that volume Sonix PAYG would cost you $250/mo.

For developers building an LLM app that needs speech-to-text, the default is **OpenAI Whisper API** if you're already on OpenAI (https://openai.com/api/pricing), and **Deepgram** Nova-2 if you're processing more than 5,000 hours/month and need to optimize cost. The $0.10/hr difference doesn't matter at 100 hours/month; it's $5,000/month at 50,000 hours/month. **AssemblyAI** Universal-2 is the right call when accuracy on noisy or accented audio is mission-critical and the 1.8x cost over Whisper is acceptable.

For real-time voice agents and call-center IVR replacements, **Deepgram** Nova-3 is the only serious answer (https://deepgram.com/pricing). The sub-300ms streaming latency, the Twilio/Genesys/LiveKit integrations, and the on-prem container are what production voice apps need. AssemblyAI streams but is optimized for batch. Whisper API doesn't stream at all — you can't use it for real-time voice without a streaming wrapper that defeats the cost advantage.

For legal, medical, or media organizations where transcription accuracy is contractually required, **Rev AI** human at $1.99/min (https://www.rev.com/pricing) is still the right tool. Nothing else hits 99%+ accuracy reliably. You don't put it on every file — you put it on the depositions, the medical dictations, and the published interviews where a misheard word costs more than $119/hr to fix downstream.

Every transcription vendor has a pricing trick. **Otter.ai**'s is the per-conversation cap: Free tier limits conversations to 30 minutes, Pro to 90 minutes (https://otter.ai/pricing). If your team runs 2-hour quarterly business reviews, Free and Pro are unusable and you're forced to Business at $20/seat/mo whether you wanted to be or not. The minute pool also doesn't roll over month to month — unused minutes are forfeit.

**Rev AI**'s pricing trick is the 12.5x markup between API and web. Same model, same accuracy: $0.02/min via API, $0.25/min via the rev.com dashboard (https://www.rev.com/api/pricing, https://www.rev.com/pricing). If you're a small team using the web app for AI transcripts, you're paying $15/hr for what would cost $1.20/hr through their own API. The web app earns its markup only if you genuinely need the editing UI and one-off file workflow.

**Descript**'s pricing trick is the included-hours-per-month framing. Creator at $35/mo with 10 hours included sounds generous (https://www.descript.com/pricing), but overage is $1.50/hr and the next tier (Pro at $50/mo) bumps you to 30 hours. If you're consistently processing 15-20 hours/month, the math says stay on Creator and pay overage; if you hit 25+ hours/month, Pro pays for itself. Descript also gates Studio Sound and Overdub minutes separately — they're not the same pool as transcription.

**Trint** Starter's 7-file cap with 120-min file ceilings is the worst-of-class pricing pattern (https://trint.com/pricing). It's designed to push you to Advanced at $100/mo, which is the plan they actually want you on. Read it as a $100/mo product with a $80/mo loss-leader, not as a $80/mo product. **Sonix** does the opposite — true PAYG pricing with no commitment, plus a Premium plan that's transparently cheaper at 5+ hr/mo (https://sonix.ai/pricing). Sonix is the only one of the five web apps with a pricing page that doesn't try to hide anything.

On the API side, the price you see is roughly the price you pay — but watch the request-level fees. **AssemblyAI** bills per audio second with a 1-second minimum per request, so processing 10,000 short clips costs more than processing one long file with the same total duration (https://www.assemblyai.com/pricing). **Deepgram** bills per second with no minimum and is materially cheaper at high request counts. **OpenAI Whisper API** caps file size at 25MB, which forces you to chunk longer audio yourself — that's not a hidden cost, but it's a hidden hour of engineering time. As of June 2026 — verify at openai.com/pricing before you scope the integration.

All eight vendors have SOC 2 Type II reports available under NDA — that's table stakes in 2026 and not a differentiator. The real questions are HIPAA support, EU data residency, and whether you can run the model in your own VPC or on-prem. **Deepgram** is the only vendor on this list that offers a production self-hostable on-prem container (https://deepgram.com/pricing). For healthcare, defense, or financial-services buyers who can't ship audio to a third party, that's a category-of-one feature.

**AssemblyAI** offers HIPAA-compliant processing on enterprise plans and has an EU region for data residency (https://www.assemblyai.com/pricing), but no self-hosting. **Rev AI** offers HIPAA on its enterprise tier and has been a default in legal-tech and medical-transcription stacks for a decade. **OpenAI Whisper API** runs only on OpenAI's infrastructure with US and EU residency options under OpenAI Enterprise — no HIPAA BAA without a specific enterprise contract.

On the web-app side, **Otter.ai** and **Descript** are both SOC 2 Type II and US-only for data residency. Neither has a HIPAA BAA available off-the-shelf. **Trint** has GDPR-compliant EU processing and is widely deployed in European newsrooms. **Sonix** has SOC 2 Type II and EU processing options on Premium and Enterprise plans (https://sonix.ai/pricing). If you're a US-only sales team Otter is fine; if you're a European or healthcare team you're on Sonix, Trint, AssemblyAI, or Deepgram.

SSO/SAML is the other enterprise checkbox. Every vendor here gates it behind their enterprise tier — none of the listed paid plans include it by default. Budget another $50-150/seat/mo on top of the base price for any of them when you actually procure for a 50+ seat deployment. The exception is **Deepgram**, which includes SSO on its mid-tier API plans because there are no seats — auth happens at the API key level.

The often-missed consideration is what happens to your audio after transcription. **Otter.ai** retains recordings on Pro and Business by default for indefinite playback — that's the feature, but it's a data-retention exposure. **Rev AI**, **Deepgram**, and **AssemblyAI** all support immediate-delete-after-transcription on enterprise plans. If you're in a regulated industry, that's the line item to negotiate first. As of June 2026 — verify at deepgram.com/pricing and each vendor's security page, because retention policies have been shifting toward stricter defaults all year.

Most teams that get this right end up running two tools, not one. The pattern we see most often: **Otter.ai** Pro or Business for live meeting capture, plus **Deepgram** or **OpenAI Whisper API** for asynchronous batch jobs on recorded podcasts, support calls, or video assets (https://otter.ai/pricing, https://deepgram.com/pricing, https://openai.com/api/pricing). Otter handles the human-facing meeting workflow, the API handles the engineering pipeline, and neither tries to be the other.

For media companies, the dominant pattern is **Sonix** or **Trint** for the editorial workflow plus **Rev AI** human for the small number of files that need 99%+ accuracy (https://sonix.ai/pricing, https://trint.com/pricing, https://www.rev.com/pricing). The editorial tool handles the daily volume of interviews, the human service handles the published long-form. Trying to use Rev human on everything is $119/hr — financially unsustainable unless your output is exclusively high-stakes long-form journalism.

For podcast and video creators, **Descript** plus **OpenAI Whisper API** is the underrated stack. Descript for the editing flow on episodes you're publishing, Whisper API for cheap bulk transcription of guest pre-interviews, internal recordings, and old episodes you're recovering (https://www.descript.com/pricing, https://openai.com/api/pricing). The $35/mo Descript bill covers what it should — the editor — and you stop paying $3.50/hr for words you only need as plain text.

The wrong pattern is running both **AssemblyAI** and **Deepgram** in parallel hoping to A/B them in production. Either pick one based on a documented evaluation against your actual audio, or — if you genuinely need both — run AssemblyAI Universal-2 for accuracy-critical paths and Deepgram Nova-3 for latency-critical paths and make the routing decision in your application code. Don't carry the operational cost of two API integrations without a clear reason.

If you're consolidating instead of expanding, the question is whether to drop a paid web-app tool in favor of an API. The honest answer for most non-technical teams is no: the build-versus-buy math on a custom transcription UI is brutal, and the $20-100/mo you'd save isn't worth the engineering time. The exception is if you already have a developer building the surrounding product — then **AssemblyAI** or **Whisper API** plus 20 lines of Next.js is a better foundation than a Sonix or Trint subscription that doesn't quite fit your workflow.