Transcription APIs
with a UI built in.
Speak AI ships Gladia-class transcription APIs, real-time output and speaker diarization included, plus the player, library, and embeddable recorder most teams end up building anyway. We build it with you.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring your Gladia setup. Leave with a migration plan.
A working session, not a sales pitch. No obligation.
You bring a real file
An audio file, a call recording, or your current Gladia API response. Whatever your team transcribes today.
We map your API surface
The endpoints you call, the fields you parse, the UI you had to build around them. Your integration, your terms.
You see it transcribed, live
Your own file, transcribed and diarized in the console, plus the player and library it lands in automatically.
Transcription APIs for every kind of product.
The same transcription and diarization engine, pointed at the audio your product actually handles.
Product-embedded transcription
Ship a Gladia-class API plus the player, library, and recorder your users expect, without building the UI stack.
Support call transcription
Every support call transcribed and diarized automatically, searchable in one library instead of a folder of files.
Caption & content pipelines
Batch transcription for podcasts, video, and interviews, with speaker labels and exports ready for publishing.
Evidentiary transcription
Recordings transcribed and diarized with a defensible audit trail your team can retrieve on request.
Interview transcription
Qualitative interviews transcribed, coded, and searchable across an entire study.
White-label transcription products
Resell transcription and diarization under your own brand, on your own domain, with the API and the UI included.
A different approach to Gladia-class transcription.
Gladia transcription is a solid choice if all you need is the raw API: speech-to-text, translation, and speaker diarization returned as structured output. Teams evaluating it for that reason are usually right that the transcription itself will work. The gap shows up a step later, once the API response has to become something a non-technical teammate can open, search, and share.
Why a transcription API alone isn’t enough
A pure transcription API hands back words and speaker boundaries. It does not hand back a player a client can scrub through, a library a support team can search by date or tag, or a recorder a product can embed without months of frontend work. Most teams that start with an API-only tool end up building all three anyway, then maintaining them alongside the API itself. Speak AI starts where that gap opens: the transcription and diarization ship with the player, library, and recorder already built.
Reading the recording, not just returning words
Every file is transcribed in your language, with 100+ supported, and the recording itself is analyzed alongside the words: pacing, tone, and energy in the audio, not just the transcript text. Speaker boundaries are auto-detected and labeled by order of first appearance, with confidence scores and timestamps. You can stream output in real time or fetch it after completion, and everything is stored encrypted, versioned, and retrievable by API key or the web player.
Then the questions start. Ask across your entire transcript history with AI chat, using ChatGPT, Claude, and Gemini built in, instead of exporting text into a separate tool every time someone needs an answer.
Signals you’ve outgrown a transcription-only API
- Your recording workflow needs to ship in weeks, not the months it takes to build a player and library from an API response.
- Your users expect a player and a searchable library, not a raw JSON transcript.
- You want to embed a recorder into your product without building it from scratch.
- Cost transparency matters more than stitching together separate point solutions for capture, storage, and playback.
- Your team already uses ChatGPT or Claude and wants to query recordings without exporting first.
The result is a transcript library that behaves like a product instead of an export folder: trends across hundreds of files become a report instead of a manual scan, and dashboards you can customize and white-label track volume, sentiment, and speaker time over time, so this month’s recordings are measured against last month’s. One legal intelligence firm ran its carrier call volume through this exact workflow, described in the large-scale comparative analysis, and processed 5,100+ hours 95% faster without adding headcount. Migrating off Gladia is a straightforward export-and-import, and because the same engine also powers call scoring and connects to Claude and other agents through the MCP server, the transcripts you migrate are immediately usable well beyond transcription.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the fields, endpoints, and prompts around how your product actually uses transcription, then prime the application on a sample of your existing recordings so accuracy holds from the first real file. You get structured data back, not just a transcript.
- We design the context, fields, and scoring around your transcription workflow, not a generic API contract.
- Your historical recordings and transcripts prime the knowledge base before go-live.
- Structured data on every recording, queryable from Claude, ChatGPT, and Cursor through the MCP server.
One system of record for everything your team says.
In-person and virtual, in one place. No stitching together a meeting tool, a voice recorder, and three other apps. Speak AI captures it all into one searchable knowledge base your applications are built on.
One platform. Not one model.
A single-engine API locks you to one transcription model. Speak AI picks the right model, speech engine, and language for each file type and team, so your applications are never locked to a single vendor.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
100+ languages
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
Your first scorecard runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.
Gladia and Whisper are both capable transcription engines; Gladia layers diarization and streaming on top of a Whisper-class core. Speak AI routes transcription across multiple engines, including Whisper-class models, and pairs the output with diarization, a player, and a library, so you are not choosing between engines, you are getting the full stack.
Free single-file tools work for occasional use but usually cap length, accuracy, or export formats. Speak AI offers a free account so you can test real transcription and diarization on your own audio before committing to API usage.
Gladia prices per hour of audio processed, with a free tier for testing. Speak AI also charges a transparent per-hour rate, with no platform fee or per-seat pricing, bundled with the player, library, and recorder. See our pricing page for current rates.
Gladia is used to add speech-to-text, translation, and speaker diarization to a product through an API. Teams evaluating it for that use case often also need a way to surface the output: a player, a searchable library, and an embeddable recorder, which Speak AI ships alongside comparable transcription and diarization.
Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
From a Gladia API key to a full transcription stack.
Book a free consult, bring a real audio file, and watch it transcribed and diarized in the console before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.