Review and Correct a Transcript
ScreenApp has transcript corrections, line removal and speaker reassignment saved to the recording: what you get is a transcript next to the recording, so you can check the two against each other, edit the text directly, and have the AI proofread a section. Upload a video or audio file, or paste a link, and once it is transcribed the player and the text stay in sync so you can jump to any line and listen.
You get an editable, checkable transcript rather than a block of text you have to trust blind. If a name or a technical term keeps coming out wrong, add it to your vocabulary list before you transcribe the next recording and the model will recognize it.
What you get:
- transcript corrections, line removal and speaker reassignment saved to the recording
- clicking a moment in the transcript jumps the player to that point in the recording
- speaker identification, and click a speaker label to rename it, match it to a team member, or reassign a single segment
- custom vocabulary for transcription, so recurring names and jargon are recognized on future recordings
- AI chat with any recording, useful for spotting inconsistencies or asking it to rewrite a section
- search across recordings by name or transcript
- Export as PDF, DOCX, TXT, SRT and VTT once you are happy with it
How to Review a Transcript
- Upload or import the recording: Add a video or audio file, or paste a YouTube, Vimeo, or media link. ScreenApp transcribes it automatically.
- Play it back against the text: Click any line in the transcript to jump the player to that moment and listen. Rename a speaker label and the change applies everywhere that speaker appears.
- Edit the text or ask the AI to proofread it: Fix a word directly in the transcript, or use AI chat if you want a section rewritten without filler words, or to check a name is spelled consistently. Export the transcript once you are done.
Accuracy still comes down to the audio: a clear recording with one person speaking at a time needs the least correction. Custom vocabulary helps most with names and jargon a general model has no reason to know. See how we measure accuracy.
Transcript Review: ScreenApp vs a Transcript Editor vs a Human Proofreading Service
| ScreenApp | Kapwing Transcript Editor | Rev (human proofreading) | |
|---|---|---|---|
| What it is | AI transcript with playback sync, speaker renaming, and AI chat | Browser transcript editor with direct text editing | A person reviews and corrects the transcript for you |
| Edit the transcript text directly | transcript corrections, line removal and speaker reassignment saved to the recording | delete words, phrases, or full paragraphs from the transcript, plus search and replace | Included as part of the paid service |
| Speaker labels | speaker identification, click a speaker label to rename it, match it to a team member, or reassign a single segment | Automatic, included in the subtitles section | Editable, applied throughout the document |
| Free tier | 2 transcriptions of recordings up to 45 minutes each | 10 minutes of transcription a month | No free tier; priced per minute |
| Price | Free plan, or $19/month annual for Pro | Free for the limit above; paid plans remove the watermark | $1.99/min for human transcription |
Sources, checked 2026-10-01: Transcript cleaner, Transcription accuracy and languages, Editing speaker labels, kapwing.com/tools/transcription/editor, ScreenApp pricing, rev.com/pricing
- vs Kapwing’s Transcript Editor: Kapwing lets you delete words and phrases directly in the transcript text. ScreenApp offers transcript corrections, line removal and speaker reassignment saved to the recording, plus speaker renaming, custom vocabulary for future recordings, and AI chat.
- vs Rev’s human proofreading: Rev has a person check and correct the transcript for you, at $1.99 a minute. ScreenApp is AI-only: you do the checking yourself, with playback synced to the text to make that faster.
Who Reviews Transcripts
Researchers check an interview or focus-group transcript against the recording before quoting from it in a paper, and rename speakers to match participant codes.
Journalists verify a quote is word for word before it goes in a story, playing the exact moment back rather than re-listening to the whole interview.
Students clean up a lecture or interview transcript before citing it in an assignment, and use AI chat to tidy a section without filler words.
Legal and compliance teams check names, dates, and terms in a call or meeting transcript against the audio before it goes into a file, and add case-specific vocabulary so it transcribes correctly next time.
Content teams correct a podcast or video transcript before turning it into show notes or captions, using search to find and fix a misheard term everywhere it appears.