Aisha AI
by voicelab

AI voice workflow

Python speech to text API

Python speech to text API: turn recordings into text you can review, search and use in your product. Start with a representative sample in your target language.

Aisha AI · Updated

Try STT API docs

Use case

Python backends
Audio upload
Async STT
Data pipelines

Define a useful result

Decide whether you need a verbatim transcript, a translation or a summary. These are different outputs; confirm what your selected model returns before processing a full recording.

STT and transcription workflow

Once audio becomes text, the transcript can feed CRM, search, QA review, summaries or Call Metrics workflows.

App first, API when needed

Teams can validate the workflow in the Space app, then automate it through the API. Format, limits and endpoint details should stay governed by the official documentation.

What to check before launch

Evaluate results with your own material. Keep separate results for each language and recording or playback condition.

Try a representative sample

Transcribe a short recording. Compare names, numbers, negations and language switches against the audio.

Connect it to the product

Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.

Review each language

Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.

How it works

1

Prepare the audio source.

2

Transcribe it through the STT API or Space app.

3

Connect the transcript to CRM, search or analytics.

Practical guides

Multilingual audio transcription: a practical guide

Prepare multilingual recordings, separate transcription from translation and check names, numbers and language switches before using the transcript.

Which workflow fits your use case?

Frequently asked questions

Is Aisha suitable for Python speech to text API?

Start by testing integrating STT from Python backends with representative material. Confirm the target language and required features in Space or the API documentation before planning a full integration.

Can this work through an API?

Yes. The speech-to-text API supports audio submission, status checks and transcript retrieval.

Where are exact formats and limits documented?

Supported formats, limits and endpoint details are handled in the official Aisha API documentation.