Save review time
Find the decision or the quote by searching the text instead of scrubbing through the audio.
Dashboard
How do you want to transcribe?
Free minutes are included. Upload a file or record audio to start.
Begin with audio, video, a browser recording, or a media URL. Review the timed text and speaker labels, make corrections, and export the approved transcript in six formats.
Speech to text creates a written representation of recorded language. That representation can be searched, corrected, quoted, captioned, or passed into another workflow without replaying the entire source each time.
Automatic text is still evidence that points back to the audio, not a substitute for it. Timings and speaker segments help a reviewer confirm the words that matter before treating the transcript as a meeting record, interview source, or publication asset.
A searchable draft lets you locate a decision, quotation, or topic without scanning an entire recording. Review that passage once, then reuse the corrected text in the output your task requires.
Find the decision or the quote by searching the text instead of scrubbing through the audio.
Six export formats mean one recording can feed a caption file, a client document, and a data pipeline.
Detection handles the language, or set it manually for interviews that switch mid-sentence.
This page stays on the recording in front of you; the archive is a click away under Recordings.
The same flow covers most of the jobs that start with someone pressing record.
Source intake, job settings, transcript inspection, correction, and export remain connected so context is available during review.
Bring audio or video up to 1 GB and set language and speaker options before the job starts.
Capture microphone or system audio in the page and send it straight to transcription.
Start from a hosted media link instead of downloading and re-uploading the same file.
Choose language detection or set the expected source language, then locate required wording in the transcript with search.
Switch on speaker separation so interviews and meetings come back split by voice, with renameable labels.
Export as TXT, DOCX, PDF, SRT, VTT, or JSON, generated from the transcript after your edits.
Select the source, configure the job, inspect the automatic result, and prepare only the reviewed version for its destination.
Pick your source: upload, in-page recording, or a media URL.
Choose how the spoken language will be identified and whether different voices require labels.
Run the job and let the transcription finish.
Correct names and terms, then export the format your next step needs.
Automation changes how the first draft is produced. Human judgement is still responsible for resolving uncertain words, identities, and consequential statements.
FAQ
Upload, record, or import a media link, then inspect and correct the transcript before choosing an export.