Transcription infrastructure for every workflow.

Queue audio, video, file uploads, and public media links through one production pipeline—then retrieve structured text and timestamped segments.

Create a transcription
curl --include --request POST https://fast-transcriber.com/api/v1/transcriptions \
  --header "Authorization: Bearer $FAST_TRANSCRIBER_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "source_url": "https://www.youtube.com/watch?v=VIDEO_ID",
    "speaker_diarization": false
  }'
202 AcceptedLocation: /api/v1/transcriptions/95c3…
01
Create a keyGenerate it once in the developer dashboard.
02
Queue mediaUse a public URL or completed upload.
03
Retrieve textPoll the returned job to completion.
Resource library

Start with the workflow you need

Like the product itself, the documentation is organized around real resources—not one giant reference page.

One endpoint, six source guides

Documentation for every public source

Each supported source has its own accepted URL forms, access boundaries, examples, failure handling, and FAQs.

Seven workflow operations

Every transcription operation, one click away

The reference mirrors the implemented discovery, upload, and transcription workflow. The public OpenAPI document has its own guide.

Choose your integration

REST when you write the code. MCP when an assistant does.

Both use the same Fast Transcriber account and production job pipeline. Pick the interface that fits the caller.

© 2026 FastTranscriberBuilt for developers who work with speech.