Automatic Caption Drafts
Start from AI-generated timing and text instead of building subtitle files by hand from a blank timeline.
FastScribe generates subtitle-ready output from uploaded audio or video files so you can move faster on publishing, accessibility, and content reuse.
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MAX FILE SIZE: 1GB
This workflow is built for speed, consistency, and teams that publish often enough to outgrow manual captioning.
Start from AI-generated timing and text instead of building subtitle files by hand from a blank timeline.
Generate subtitle output from uploaded videos or from audio-first source files used in editing workflows.
Create the first caption draft quickly, then make small edits instead of timing and typing everything yourself.
The same transcription run can power captions, summaries, clip descriptions, and searchable archives.
If you release lessons, demos, podcasts, or shorts regularly, automated caption generation saves meaningful time.
Keep the first-pass subtitle workflow in one place before handing the output to editors or publishing tools.
A fast workflow for turning speech into caption-ready text with timing.
Step 1
Choose the source file that contains the speech you want to caption.
Step 2
FastScribe transcribes the content and structures the output for subtitle use.
Step 3
Download subtitle-ready output and continue into editors, course platforms, or social publishing tools.
Questions from publishers choosing between manual and automated caption workflows.
It automates the first pass of transcription and timing so you do not have to type every line and align it from scratch.
Yes. Automated subtitle generation is useful for both short-form clips and long-form lessons, demos, or webinars.
No. Many teams create subtitle drafts from audio-first source files before syncing them with the final video edit.
Usually yes. Automation saves the most time on the first draft, while final polish depends on your brand, pacing, and formatting preferences.
It is better when the next step is clearly captions or subtitle export rather than only transcript review.
Creators, educators, marketers, and async teams that publish or archive spoken content regularly benefit the most.
Explore caption workflows for video files, audio tracks, and recurring publish pipelines.
Generate subtitle-ready text from videos for accessibility and social distribution.
Generate subtitle files with timestamps for video publishing workflows.
Create SRT subtitles from MP4 uploads for editors, educators, and creators.
Convert MP3 audio into subtitle files with timestamps and clean text segmentation.
Upload multiple files and process recurring transcription work faster.
Use AI-powered transcription for long-form audio, video, and spoken content.