Faster Multi-File Handling
Upload several recordings in one workflow instead of repeating the same setup for every single file.
FastScribe helps teams and creators handle recurring transcription work faster by grouping audio and video uploads into a cleaner batch process.
This page is for teams and operators who already know transcription is recurring work, not a one-off task.
Upload several recordings in one workflow instead of repeating the same setup for every single file.
Batch workflows fit weekly meetings, interview series, podcast production, course recordings, and content teams.
Keep transcripts, exports, and naming patterns consistent when multiple files need the same end format.
Process multiple interviews, user calls, or content recordings without losing structure between files.
Use one batch to create notes, summaries, subtitle drafts, and searchable archives across a set of recordings.
Spend less time repeating uploads and more time reviewing the text that actually matters.
A simple workflow for repeated uploads and multi-file review.
Step 1
Add the set of recordings you want to process together, whether they are audio, video, or a mix of both.
Step 2
FastScribe processes each file and returns transcript output with the same workflow structure.
Step 3
Export the files individually or use them for summaries, notes, subtitles, and searchable internal archives.
Turn repeated or long-form recordings into structured text that can be reviewed and reused.
Content teams
Use Batch Transcription to turn long-form media into transcript text, summaries, and publishing inputs.
Research teams
Keep speaker-aware transcripts organized when the same study or project includes multiple recordings.
Operations teams
Convert recurring calls and updates into text that can be searched and referenced later.
FastScribe keeps privacy claims practical and tied to controls available in the product.
Transcription files and results stay scoped to the account or guest session unless the user explicitly creates a share link.
Available retention choices depend on account access and can be managed as part of the transcription workflow.
Signed-in users can manage and delete transcription tasks from their workspace instead of publishing them by default.
Questions from users moving from one-off transcription into recurring operational use.
Batch transcription is about processing multiple recordings efficiently, not just converting one file at a time.
Teams running repeated calls, interviews, lessons, or content production cycles benefit the most because the workflow cuts repetitive setup time.
Yes. Batch workflows are useful across mixed media sets when several recordings need the same transcript treatment.
Yes. The value of batch processing increases when the outputs still flow into docs, summaries, subtitles, and internal systems.
Yes. Research teams often need to process many interviews, usability sessions, or participant calls in a repeatable way.
Move to batch transcription when you are repeating uploads every week or when single-file handling starts slowing down the team.
Start with 15 guest credits. Create an account when you need larger jobs and receive 120 registration credits with no credit card required.
Continue into AI transcription, file conversion, and subtitle generation paths.
Use AI-powered transcription for long-form audio, video, and spoken content.
Convert audio uploads into readable transcript text and export-ready files.
Convert MP4, MOV, and other video formats into accurate transcript output.
Generate subtitle-ready text from videos for accessibility and social distribution.
Run browser-based transcription without installing desktop software.
Try free speech recognition for recordings, lessons, and spoken notes.