How accurate are YouTube's auto-captions?

On clean English audio: 80–90% word accuracy. On non-English audio: significantly worse, especially on less-resourced languages. On multi-speaker or accented English: 65–80%. YouTube uses its own ASR model, not Whisper — it's optimized for scale, not peak accuracy. For anything you'd publish professionally, upload to a dedicated tool and replace the auto-captions.

Are Zoom auto-captions free?

Live captioning is included on all paid Zoom plans (Pro, Business, Enterprise). Free Zoom accounts don't get live captions. For recorded meetings, all paid plans include automated transcription of cloud recordings. The recording transcript is a separate feature from live captions and is generally more accurate.

Can I edit auto-captions before publishing?

On YouTube: yes, via YouTube Studio → Subtitles → edit lines. On Zoom recordings: transcript editing is available in the recording playback view. Direct edits are usually 3–5× slower than fixing errors in a dedicated caption tool. Best practice: upload the source video/audio to a caption tool, edit there, then replace platform auto-captions with the corrected .srt.

Do automatic captions work on non-English audio?

Platform built-in auto-captions are heavily English-first. YouTube supports 10+ languages officially but accuracy varies dramatically. Zoom supports live captioning in English, Spanish, French, German, Portuguese, and a few others. For non-English content, upload to a dedicated tool with explicit language selection — DeluxeScribe covers 99 languages with consistent accuracy in the top 15.

How do I download auto-captions from YouTube?

YouTube Studio → Subtitles → click the language row → three-dot menu → Download → pick SRT, VTT, or SBV. If it's not your video, use a browser extension or a URL-based tool (dozens exist). For higher accuracy than YouTube's auto-captions, upload the video to a dedicated caption tool instead.

What's the difference between auto-captions and closed captions?

Auto-captions are generated by AI/machine learning without human review. Closed captions is a broader term — any captions the viewer can toggle on/off, whether AI-generated, human-produced, or hybrid. Auto-captions are a subset of closed captions. For accessibility compliance (WCAG, ADA), human-reviewed captions are usually required; auto-captions alone typically don't meet the standard.

Can I get automatic captions on a Zoom recording I didn't host?

Only if the host shared the recording with you including the transcript. Otherwise, download the audio/video (if you have permission) and upload to a dedicated captioning tool. DeluxeScribe handles Zoom exports (MP4 with embedded audio) directly.

Are automatic captions accurate enough for legal or medical use?

No. Auto-captions typically hit 80–95% word accuracy on clean audio — enough for casual viewing, not enough for legal or medical documentation. For those use cases, use a human-reviewed service (Rev, Trint's human tier) or an AI-generated transcript with mandatory human review before publication.

Automatic Captions: Platform Built-ins vs Upload Tools (2026)

YouTube, Zoom, Teams, and Meet all have built-in automatic captioning. Here's when each is good enough — and when to upload for real accuracy.

Automatic captions are AI-generated captions applied to video without any manual work. Most platforms have built-in versions— YouTube auto-captions, Zoom Live Captions, Google Meet captions, Microsoft Teams captions, CapCut’s in-editor captioning. They’re free and instant, but accuracy varies dramatically by platform and language. DeluxeScribegenerates automatic captions in 99 languages at accuracy typically 5–15% higher than platform built-ins on non-English audio, with .srt/.vtt export for any platform. Free tier: 60 minutes. Below: an honest comparison of every major platform’s built-in, when built-in is enough vs when to upload, and the upload workflow.

60 minutes free
No credit card
99 languages
Speaker labels

Last verified July 9, 2026

TL;DR — pick your path

Your situation	Best path
YouTube upload, English, personal use	Use YouTube’s auto-captions (free, good enough)
YouTube upload, non-English	Upload to DeluxeScribe → replace YouTube’s captions
Professional / published content	Upload for accuracy, edit, then use
Zoom recording, need transcript + captions	Native Zoom is fine for internal use; upload for accuracy
Teams / Google Meet recording	Same — native is fine for internal, upload for external
Need styled/burned-in captions for social	Upload → export .srt → burn-in with FFmpeg (see /caption-generator)
Long recording (over 3 hrs)	Dedicated tool — platform built-ins have length caps
Legal / medical use	Human-reviewed service (Rev human tier)

Platform built-in auto-captions compared

Every major video platform has built-in automatic captions. Quality, language support, and export options vary significantly.

Platform	Accuracy (English)	Languages	Export	Styling	Cost
YouTube auto-captions	80–90%	10+ (variable quality)	SRT/VTT/SBV	No	Free
Zoom Live Captions	70–85%	6 major (Pro+)	VTT (Pro+)	No	Paid plans only
Google Meet captions	75–88%	English + a few (varies)	Not directly	No	Free
Microsoft Teams captions	78–90%	34+ (per Microsoft)	VTT via recording	No	Included in M365
CapCut in-editor captions	82–92%	10+	Burned-in only	Yes (in-editor)	Free tier
Instagram Reels captions	80–92%	Limited	Burned-in only	Basic	Free
TikTok auto-captions	78–90%	English + a few	Burned-in only	Basic	Free
DeluxeScribe (dedicated tool)	92–98%	99	SRT/VTT/DOCX/JSON	Via FFmpeg burn-in	Free 60 min → $10/mo

Accuracy figures reflect clean audio with a single speaker. All platforms degrade similarly on noisy/multi-speaker audio; the relative ranking stays roughly the same.

When to upload to a dedicated tool instead

Platform built-ins are good enough for casual, personal, or internal use. Upload to a dedicated tool when:

Non-English audio — platforms are English-first; dedicated tools cover 99 languages with consistent accuracy.
You need the caption file— YouTube gives you SRT; Instagram/TikTok/CapCut don’t. Uploading gives you the file in any format.
You want styled captions — platform captions look the same everywhere. Uploading + FFmpeg force_style lets you style precisely.
Zoom recording is offline— local recordings don’t get Zoom Cloud transcription. Upload to caption them.
Long-form (over 3 hours) — some platforms cap auto-caption length. Dedicated tools accept files up to 5 GB.
Multi-speaker with attribution— YouTube auto-captions don’t label speakers. Dedicated tools do (speaker diarization).
Professional/published content— 80–90% accuracy isn’t good enough to publish. Upload, review, edit, publish.

How to add automatic captions with DeluxeScribe (3 steps)

Upload — drop the video into DeluxeScribe. Captions generate from the audio track automatically.
Review + edit — fix any auto-generated errors in the browser editor. Proper nouns, technical terms, homophones are the usual candidates.
Export or replace — download as SRT/VTT, upload to YouTube to replace their auto-captions, or use FFmpeg to burn captions into the video permanently.

Better automatic captions than any platform built-in

60 minutes free, no credit card. 99 languages, speaker labels, SRT/VTT export, files up to 5 GB.

Automatic caption accuracy — honest numbers

Every platform claims “99% accuracy” somewhere. That number is real on studio-quality English mono. Real-world accuracy varies with audio condition:

Audio condition	Platform auto-captions	Dedicated tool
Studio mic, one speaker, English	90–95%	95–98%
Webcam, decent mic	82–90%	88–95%
Zoom/Teams recording, mixed mics	75–85%	82–92%
Non-English (Spanish, French, German)	70–85%	90–96%
Non-English (less-resourced)	50–75%	75–90%
Accented English	65–80%	80–92%
Music-heavy content	Often fails	Often fails

The gap between platform built-in and dedicated tool widens most on non-English audio and accented English. On clean studio English, both perform similarly.

Full WER breakdown by language and Whisper model size: How Accurate Is Whisper.

Automatic captions by platform

YouTube

YouTube generates auto-captions on every uploaded video with speech. Available in the video player via the CC button. Downloadable as SRT/VTT/SBV via YouTube Studio → Subtitles. For your own videos, replace them with a corrected .srt from a dedicated tool — YouTube prefers uploaded captions over auto-generated when both exist.

To grab captions from someone else’s video (fair use for personal study), see YouTube Transcript.

Zoom

Live captions during meetings on paid plans (Pro and above). Automated transcription of cloud recordings included on all paid plans; local recordings don’t get transcribed automatically. To caption a local Zoom recording, download the MP4 and upload to a dedicated tool. See Zoom Transcription for the full native vs third-party comparison.

Google Meet

Live captions during meetings (free) but no export. To get a file, use Google Meet’s recording feature (Workspace plans) and upload the recording to a caption tool.

Microsoft Teams

Live captions during meetings, included in Microsoft 365. Meeting recordings include auto-generated transcripts (extractable as VTT). Best-in-class language support among the meeting platforms (34+ languages per Microsoft).

Instagram Reels / TikTok / YouTube Shorts

All three now auto-generate captions and burn them into the video. Styling is basic. For custom styling (color, font, position), transcribe with a dedicated tool, export .srt, and burn in with FFmpeg force_style — full reference on Caption Generator. For URL-based transcript extraction from these platforms, see Social Media Transcription.

CapCut / InShot / Descript

Editing apps with auto-caption built in — burn-in only, no export. Fine for casual social content; for platform delivery (YouTube, Vimeo) or multi-platform use, transcribe with a dedicated tool for the exportable .srt.

How this page was verified

Platform accuracy figures generalized from public benchmarks, vendor documentation, and hands-on testing on identical source files. YouTube auto-captioning claims from YouTube’s help doc. Zoom Live Captions availability from Zoom Support. Whisper accuracy ranges align with Radford et al. (2022). WCAG caption requirements from WCAG 2.1 SC 1.2.2.