Answer first
Speech recognition usually handles clear, single-speaker audio better than names, numbers, overlapping voices, or music-heavy clips. Use Instagram Transcript to create a timestamped first pass, then replay the uncertain sections against the original file.
Why these parts fail first
- Names: uncommon names and brand terms are missing from general language models.
- Numbers: "fifteen" and "fifty," decimals, dates, and model numbers can sound alike.
- Music: a loud backing track masks consonants even when the speaker sounds understandable to a listener.
- Multiple speakers: rapid turns and interruptions make both punctuation and attribution uncertain.
A five-minute review method
- Keep timestamps in the export so every doubtful line links back to a moment in the video.
- Search the transcript for digits, proper nouns, and unusually short or broken phrases.
- Replay each hit with headphones and compare the audio, not your expectation, with the text.
- Mark inaudible words explicitly instead of silently guessing.
- For quotations or research, preserve the source timestamp and a note about the review.
How to improve the next pass
Use the original video rather than a screen recording, reduce competing music when you control the edit, and select the spoken language manually when the clip switches languages. For clips with regional speech or unfamiliar pronunciation, treat accent accuracy as a separate review question and replay the affected lines against the source. A clean input often improves the result more than changing export formats.
What accuracy claims should mean
There is no single accuracy percentage that describes every Reel. A useful result is one that exposes timestamps, makes uncertain words easy to find, and lets you correct the high-risk sections without starting over. For public-facing captions, always review names, numbers, and quoted speech before publishing.
How to stop background music showing up in an Instagram transcript
Whether a transcript comes out clean depends on which is louder, the speech or the background music, not on whether background music is present at all.
- Speech louder than the background music: the output is normal captions.
- Background music louder than the speech: text is still produced, but the content is inaccurate.
- Music-only video: the output is empty.