How to Transcribe Video for Captions (Step-by-Step)
Creating accurate captions starts with a good transcript. Here is the complete workflow from video to finished captions — covering TikTok, YouTube, and Instagram Reels.
Why transcription is the foundation of good captions
All captions start as text. Whether you write them manually, use platform auto-captions, or generate them with AI, the raw material is always the spoken words from the video converted into text. The quality of that text determines the quality of the captions.
Platform auto-captions (TikTok, YouTube, Instagram) generate captions automatically, but they are frequently inaccurate, especially for fast speech, accents, technical vocabulary, and proper names. They also offer limited ability to review and correct before publishing.
Starting with a high-quality AI transcript and then converting it to captions gives you full control: you can review and correct the text before it becomes captions, choose your caption format, and ensure the final result is accurate. The extra step is minimal compared to the improvement in quality.
Step 1: Generate the transcript
- Copy the URL of your video (TikTok, YouTube, or Instagram Reel)
- Paste it into TranscribeVideo.ai
- Click Generate and wait 30–60 seconds
- Copy the full transcript text
Alternatively, if you are working with a video file that is not yet published, use an upload-based transcription tool.
Step 2: Review and correct the transcript
Paste the transcript into a document and review it against the video. Correct:
- Proper names (people, places, brands, product names)
- Technical terms and industry-specific vocabulary
- Numbers and statistics
- Any words that were clearly misheard (common with homophones and fast speech)
For captions, you do not need to edit filler words out — people do say “um” and “uh,” and captions typically reflect speech as it was actually produced. However, if a filler word appears multiple times in quick succession, removing extras improves readability.
Step 3: Format the transcript as caption segments
Captions differ from transcripts in one important way: they are divided into short segments that match the timing of the speech. Each segment is displayed for a few seconds while the corresponding words are spoken.
Two common approaches for formatting:
- Manual caption editing. Import the transcript text into a caption editor (Kapwing, Subtitle Edit, Aegisub, or CapCut). Divide the text into segments of 3–7 words and align the timing to the video. This gives the most control but takes more time.
- Platform auto-captions with manual correction. Upload the video to YouTube, TikTok, or Instagram. Use the platform's auto-caption feature to generate timed captions, then replace incorrectly transcribed text with the correct text from your review. This is faster for timing but requires platform-by-platform correction.
Step 4: Format for each platform
Caption display requirements vary by platform:
- YouTube. Accepts SRT and VTT files. Maximum recommended line length is 42 characters. Segments of 1–4 seconds work well for most content.
- TikTok. Auto-captions can be corrected directly in the app editor. For baked-in captions (text burned into the video), use a video editor with the transcript as source text.
- Instagram Reels. Instagram generates auto-captions. For baked-in captions, use a video editor. Maximum recommended 3 lines per caption screen.
SRT captions: the universal format
SRT (SubRip Text) is the most widely accepted caption format. An SRT file looks like this:
1 00:00:01,000 --> 00:00:03,500 This is the first caption line. 2 00:00:03,500 --> 00:00:06,000 This is the second caption line.
Most caption editors can generate SRT files from your corrected transcript text. YouTube, Vimeo, and many other platforms accept SRT uploads directly. For TikTok and Instagram, baked-in captions (rendered as part of the video) are the most reliable approach since platform caption files are not always shown on all devices.
FAQ
What is the difference between a transcript and captions?
A transcript is the full text of a video in a single block — not timed and not formatted for on-screen display. Captions are the same text divided into short, time-synced segments designed to appear on screen while the video plays. A transcript is the starting point for creating captions.
Can I use a transcript to create SRT captions?
Yes. Once you have the transcript text, you can use a caption editor (like Kapwing, Subtitle Edit, or CapCut) to divide the text into timed segments and export as an SRT or VTT file. The transcript gives you the correct text; the caption editor handles the timing.
How many words should be in each caption segment?
For most video content, 1–7 words per caption line works well. Shorter segments (1–3 words) are used for animated word-by-word caption styles. Longer segments (5–7 words) work for standard subtitle formats. Reading speed is the key constraint — viewers should be able to read the caption before it changes.
Is AI transcription accurate enough to use directly as captions?
For clear speech, AI transcription is 90–95% accurate and is a good starting point for captions. For professional or public-facing video, always review and correct the transcript before creating captions from it — especially for proper names, technical terms, and numbers.
Start with a transcript
Get your video transcript in under 30 seconds, then build accurate captions from it.