99 languages
Support automatic language detection and multilingual transcription experiences for global teams and content.
AI speech to text
Accuracy is only the beginning. AudioGist connects model output to editing, templates, exports, sharing, permissions, and a controlled data lifecycle.
Alex · 00:18Let's confirm the three most important delivery goals for this quarter and assign an owner to each one.
Jordan · 00:31I'll own customer interviews and summarize the risks and next actions by Friday.
AI summary3 key decisions and 4 action items found
AI speech to text
Noise, accents, terminology, and overlap can affect AI transcription. AudioGist preserves timestamps, confidence data, and editable segments so users can verify high-impact content.
Why AudioGist
Support automatic language detection and multilingual transcription experiences for global teams and content.
Create labels for multi-person audio and rename a speaker consistently across the transcript.
Use 12 built-in templates or a user-defined prompt for use-case-specific structured output.
Three steps
Upload audio or video, record in the browser, or submit a publicly accessible YouTube link.
AudioGist extracts, chunks, and transcribes audio in an isolated compute plane with timestamps and speaker labels.
Correct text and speakers, review summaries and action items, then export documents, captions, or structured data.
Use cases
Extract needs, objections, quotes, and next steps.
Turn synchronous meetings into searchable, shareable asynchronous documents.
Create an editable text version of audio and video.
One transcript, multiple delivery paths
The same transcript can feed documents, captions, content production, and automation workflows.
Frequently asked questions
Yes. Clear audio usually performs better, but names, numbers, terminology, and responsibility attribution require human review.
The compute provider supports OpenAI transcription and summary models as well as a local simulator. Exact models are configurable through environment variables.
AudioGist's product policy is not to train models on customer content. Production disclosures must still accurately describe the active provider's controls and retention.
AI speech to text