# Welcome

The Gladia Enterprise API turns speech into text **while it is spoken**. You open a session, stream audio over a
WebSocket, and receive transcripts in a fraction of a second: partial ones while a sentence is spoken, a final one
when it ends. On the same connection you can get translations, named entities, redacted personal data, sentiment
and end-of-turn events.

## How it works

1. **Create a session** with [`POST /v2/live`](/api-reference/v2/live/init/): its audio format, model, languages and
   options. The answer has a WebSocket URL.
2. **Stream the audio** to that URL, in small chunks, as it is captured.
3. **Read the messages**: [`transcript`](/api-reference/v2/live/message/transcript/) messages, partial then final,
   and the messages of the features you turned on.
4. **Stop** with `stop_recording`: the last transcripts arrive, then the whole session's result.

The session's transcript stays available afterwards ([`GET /v2/live/{id}`](/api-reference/v2/live/get/)), in your
history, and in [Gladia Workspace](/introduction/authentication/).

## What you can build

- **Voice agents**: low-latency transcripts and [end-of-turn detection](/live/end-of-turn/), so the agent answers
  when the caller has finished, not at every pause.
- **Call centers**: one speaker per channel, [PII redaction](/features/pii-redaction/), [sentiment](/features/sentiment-analysis/),
  [named entities](/features/named-entity-recognition/).
- **Meetings and live captions**: [speaker diarization](/features/speaker-diarization/), [translation](/features/translation/)
  into 38 languages, [custom vocabulary](/features/custom-vocabulary/) for names and jargon.

## For LLMs and agents

Every page has a Markdown twin (add `.md` to its address), [/llms.txt](/llms.txt) indexes them,
[/llms-full.txt](/llms-full.txt) has the whole documentation in one file, and [/openapi.json](/openapi.json) is the
OpenAPI document of the API.

## Next

- [Quickstart](/introduction/quickstart/): your first transcript.
- [Playground](/playground/): try it with your microphone.
- [Models](/introduction/models/): pick the right one.
