Automatic Transcription Correction and Punctuation Cleanup

Raw transcription is rarely perfect. Words get misheard, punctuation is missing, and filler words clutter the text. Bitcut applies AI text correction automatically after transcription, so your subtitles are clean and readable from the start.

What Gets Corrected

The AI correction pass handles several types of cleanup:

  • Misheard words — common transcription errors are detected and fixed using context clues ("their" vs "there", proper nouns, technical terms)
  • Punctuation — periods, commas, question marks, and other punctuation are added where natural speech pauses occur
  • Capitalization — sentence beginnings and proper nouns are capitalized correctly
  • Grammar cleanup — minor grammatical issues from spoken language are smoothed out for readability
Timestamps preserved: Text correction changes the words but keeps every timestamp intact. Each word still appears on screen at exactly the right moment.

Formatting Levels

Bitcut offers different levels of text processing depending on the workflow:

  • Minimal — basic error correction only, preserves the speaker's exact phrasing as much as possible
  • Standard — correction plus natural punctuation and capitalization
  • Dynamic — adds emphasis formatting and line breaks optimized for on-screen readability
  • Dramatic — maximum formatting with emphasis on key words for visual impact

How It Works

Correction happens in two stages:

  1. Text correction — the AI reads the full transcript and fixes errors while understanding the context of the conversation
  2. Timestamp alignment — corrected words are mapped back to the original word-level timestamps, ensuring perfect sync

This two-stage approach means the AI can fix errors that span multiple words (like mishearing a phrase) without breaking subtitle timing.

Tip: If the AI correction changed something you want to keep, you can always edit individual subtitle words manually after processing.

Language Support

AI correction works with the detected language of your audio. The system automatically identifies whether the speaker is using English, Russian, or another supported language, and applies language-appropriate corrections.