Transcribe Video for Free
Drop an MP4 into ScreenApp and you get a sentence-by-sentence transcript with per-speaker labels, word-level timestamps, and a clean export to TXT, DOC, PDF, or SRT. A 45-minute lecture finishes in roughly two minutes, with 99% recognition accuracy on clear audio and automatic handling of overlapping voices, regional accents, and background noise that usually trips up basic dictation tools.
The transcription industry is rapidly evolving with new open-source models like Mistral’s Voxtral Transcribe 2 offering enterprise-grade accuracy at lower costs than traditional APIs. For enterprise developers, Zoom AI Services launched transcription, translation, and summarization APIs in March 2026. Students looking for the best video-to-notes solution can compare options in our Einstein AI vs ScreenApp review. Learn more about the broader AI video editing trends shaping 2026, where automated transcription is just one of several game-changing features. For professional video creators, Apple’s acquisition of MotionVFX adds 1,500+ motion graphics templates to Final Cut Pro, while tools like ScreenApp focus on fast transcription workflows rather than visual editing.
The tool identifies different speakers automatically, adds timestamps to every sentence, and exports your transcript as TXT, DOC, PDF, or SRT subtitles. Free tier includes 1 free recording + 7-day Growth trial up to 45 minutes each, with all features included - no watermarks, no hidden limits.
All uploads are encrypted with TLS 1.3, processed securely on SOC 2 compliant infrastructure, and automatically deleted after 30 days for free tier.
Why users choose ScreenApp to extract text from video:
- Get text from video in 2-3 minutes processing time
- Copy text from video with one-click clipboard export
- Take text from video with speaker identification included
- 100+ language support with automatic detection
- Works in browser - no software downloads needed
- Direct YouTube URL support - paste and transcribe instantly
Upload files directly or paste video URLs from YouTube, Vimeo, TikTok, and Instagram. Most videos finish processing in 2-3 minutes regardless of length. Need to download YouTube videos first? Compare the best YouTube to MP4 converter tools for high-quality downloads before transcription.
How to Extract Text from Video
Extract text from video online in three steps:
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Upload your video - Drag a file or paste a YouTube URL, Vimeo link, TikTok video, or Instagram post. The video text extractor accepts MP4, AVI, MOV, WMV, MKV, and WebM files.
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AI extracts text automatically - Speech recognition processes your video in 2-3 minutes. It identifies different speakers, adds timestamps to every sentence, and generates searchable text.
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Copy text from video - Copy directly to clipboard with one click, or export as TXT, DOC, PDF, or SRT subtitle file. Edit the transcript in-browser before exporting.
Free tier handles videos up to 45 minutes. Paste any video URL and the tool fetches and transcribes it without requiring a download first. No email verification or account setup needed to start.
Exploring transcription options? Compare the best free AI transcription tools including ScreenApp, Otter.ai, Rev.ai, and Descript to find the perfect service for your video and audio transcription needs.
How ScreenApp Compares to Otter, Rev, Trint, Sonix, and Descript
The specs that actually decide a transcription job are word error rate on real-world audio, how many speakers the diarizer can separate, timestamp granularity (sentence vs word), maximum upload size, and language coverage. Sticker price matters less than how often you have to re-edit the output.
| Spec that matters | ScreenApp | Otter.ai | Rev.com (AI) | Trint | Sonix | Descript |
|---|---|---|---|---|---|---|
| AI accuracy (clear audio) | 99% | 96% | 94% | 90% (AI tier) | 94-97% | 95% |
| Speaker diarization | Automatic, unlimited speakers | Up to 4 named | Up to 10 | Auto, unlimited | Auto, unlimited | Manual labels |
| Timestamp granularity | Word + sentence | Sentence | Word | Word | Word | Word |
| Max file size (single upload) | 4 GB | 5 GB / 4 hrs | 3 GB | 3 GB | 4 GB | 8 GB |
| Max file length | 45 min (free) / unlimited (paid) | 4 hours | 17 hours | 7 hours | 5 hours | Unlimited |
| Languages supported | 100+ | 30+ | 38 | 54 | 49 | 23 |
| Direct YouTube URL paste | Yes | No | No | No | No | No |
| Free tier | 1 free recording + 7-day Growth trial, no watermark | 600 min/month, 40-min file cap | 45 min trial | 5 hours, limited features | 30-min trial, card required | 1 hour/month |
| Entry paid plan | $19/month annual (annual) | $8.33/month | $14.99/month | $15/month | $22/month | $12/month |
| SRT/VTT subtitle export | Yes | Add-on | Yes | Yes | Yes | Yes |
Where each one actually wins:
- Otter.ai is built for live meeting capture, so its strength is real-time bot-joining for Zoom, Meet, and Teams. The high accuracy holds up on clean conference audio but drops on noisy field recordings, and the 4-speaker diarization cap is a real ceiling for panel discussions or focus groups.
- Rev.com is the right pick when you need human-verified transcripts at $1.99 per minute. Its AI-only tier sits around 94% and lags ScreenApp on accented English; pick Rev when accuracy needs to clear 99% with a human in the loop and you can wait 12 hours.
- Trint targets newsroom workflows with a strong story editor and Adobe Premiere integration. AI accuracy on first pass is closer to 90%, which means more cleanup time per interview, but the editor is faster than most for verifying quotes against playback.
- Sonix has the strongest multitrack support for podcast workflows and good translation (40+ target languages). Pricing is pay-as-you-go at $10/hour on top of the subscription, which adds up fast on long-form video.
- Descript is a transcript-first video editor, not a pure transcription tool. If you plan to cut the video by deleting words from the transcript, it has no equal; if you just need the text out of a recording, you’re paying for an editor you won’t use.
ScreenApp is built specifically for taking text out of video: paste a YouTube, Vimeo, TikTok, or Instagram URL with no download step, get unlimited-speaker diarization, and export the transcript in four formats without per-minute charges.
Per-language accuracy benchmarks
Accuracy varies by language, accent density, audio condition, and speaker count. We test against an internal corpus of 18 hours of public-domain content per language, split across studio-quality, conference-room, and field recordings. WER (word error rate) below counts substitutions + deletions + insertions per 100 reference words; lower is better. Methodology and corpus details are at the bottom of this section.
| Language | Locale code | Studio WER | Conference WER | Field WER | Speakers tested |
|---|---|---|---|---|---|
| English (US) | en-US | 4.2% | 7.8% | 12.4% | 4 |
| Spanish (Latin Am.) | es-419 | 5.1% | 9.2% | 14.6% | 3 |
| Spanish (Spain) | es-ES | 5.4% | 9.8% | 15.1% | 3 |
| Portuguese (BR) | pt-BR | 5.8% | 10.1% | 15.8% | 3 |
| Portuguese (PT) | pt-PT | 6.4% | 11.2% | 17.0% | 2 |
| French | fr-FR | 5.9% | 10.4% | 16.2% | 3 |
| German | de-DE | 6.1% | 10.8% | 16.5% | 3 |
| Italian | it-IT | 6.3% | 11.0% | 17.1% | 3 |
| Japanese | ja-JP | 7.8% | 13.5% | 19.8% | 2 |
| Korean | ko-KR | 7.5% | 13.1% | 19.2% | 2 |
| Mandarin (Simplified) | zh-CN | 7.9% | 14.0% | 20.4% | 3 |
| Hindi | hi-IN | 9.2% | 15.8% | 23.1% | 3 |
| Arabic (MSA) | ar | 9.6% | 16.2% | 24.0% | 2 |
| Russian | ru-RU | 6.8% | 11.5% | 17.4% | 3 |
| Indonesian | id-ID | 7.1% | 12.4% | 18.5% | 2 |
What “studio”, “conference”, and “field” mean
Studio: Single speaker, lavalier or shotgun mic, treated room, no music bed. Think: podcasts, voiceovers, professional YouTube tutorials.
Conference: Multiple speakers, room mic or Zoom/Meet built-in audio, occasional overlapping speech, ambient HVAC noise. Think: corporate meetings, panel discussions, university lectures.
Field: Handheld phone mic, ambient crowd or traffic, variable speaker distance, occasional music bleed-through. Think: journalist interviews, street-level video, in-restaurant recordings.
Edge cases that hurt accuracy across all languages
- Heavy code-switching (Spanglish, Hinglish, Portuñol) — WER on code-switched sections runs ~2-3× the single-language baseline
- Music underneath speech at >-12 LUFS — adds 4-8% WER absolute
- Phone-call audio (8 kHz) — adds 3-5% WER over wideband
- More than 4 simultaneous speakers — diarization confidence drops sharply
- Strong regional accents with sparse training data (Scottish English, Quebecois French, Cantonese-influenced Mandarin)
How we test
Corpus: 18 hours per language drawn from public-domain sources (Common Voice contributions, public lecture archives, journalist transcript releases). No customer audio is ever included.
Scoring: Aligned with the original transcript using jiwer (the same library AssemblyAI references). Punctuation and capitalization are not penalized; speaker labels are scored separately.
Cadence: Re-tested quarterly. Last full run: April 2026. Next: July 2026.
Numbers above are honest. If your domain (legal transcription, broadcast-grade captions, medical) requires WER below 3% in clean audio, contact us — we can either confirm fit or recommend a vertical-specific tool.
Who Reaches for a Video-to-Text Tool
Litigation paralegals and court reporters turn deposition video and Zoom hearings into searchable transcripts before review. A four-hour deposition produces around 35,000 words, and the speaker labels separate counsel, witness, and opposing counsel in the export so quotes can be cited with the timestamp intact. Word-level timestamps make impeachment work easier: paste a line into a brief, jump back to the exact second to confirm tone before filing.
University students drop in recorded lectures from Zoom, Panopto, or Echo360 to convert a 75-minute class into study notes with searchable headings. Skimming the transcript for “midterm” or a formula name finds the moment faster than scrubbing video, and the SRT export doubles as captions when sharing notes with classmates who joined remote.
Podcasters run each episode through transcription before publishing to generate show notes, time-coded chapter markers, and pull-quotes for Instagram and LinkedIn. The transcript also feeds the show’s SEO: a 45-minute episode produces around 7,000 indexable words, which is why most podcast networks now require a transcript at upload.
Reporters and investigative journalists transcribe field interviews and on-camera sources to find the quote without re-watching the tape. Speaker labels matter most here, because misattribution is a correction; the diarizer keeps source A and source B separated even when they talk over each other, and the DOC export drops cleanly into a CMS.
Qualitative researchers transcribe focus groups, ethnographic interviews, and usability sessions before coding them in NVivo, Atlas.ti, or Dedoose. A clean transcript with timestamps is the bottleneck in most studies, and exporting to TXT or DOC means the file imports into coding software without reformatting. The 100+ language support covers cross-cultural studies where sessions run in Mandarin, Arabic, or Portuguese.
FAQ
Can I transcribe a video for free?
Yes. Upload any video file or paste a YouTube URL to transcribe for free. The free tier includes 1 free recording + 7-day Growth trial up to 45 minutes each, with full features including speaker identification, timestamps, and all export formats.
How do I extract text from video?
Upload your video file or paste a URL, then wait 2-3 minutes for AI processing. The video text extractor automatically transcribes speech, identifies speakers, and adds timestamps. Click the copy button to get text from video instantly, or download as TXT, DOC, PDF, or SRT.
How accurate is video to text conversion?
ScreenApp achieves high accuracy on clear audio using AI speech recognition. Accuracy depends on audio quality - clear recordings with minimal background noise produce the best results. Multiple speakers and accents are handled automatically.
How do I copy text from video?
After transcription finishes, click the copy button to send the full transcript to your clipboard. You can also select specific sections to copy, edit the text in-browser before copying, or download the complete transcript as a file.
Is it safe to transcribe videos online?
Yes. All uploads are encrypted with TLS 1.3 and processed on SOC 2 compliant infrastructure. Videos are automatically deleted after 30 days. Your data is never sold or shared with third parties, and you retain full ownership of all transcripts.
What video formats can be converted to text?
MP4, AVI, MOV, WMV, MKV, and WebM files are supported. You can also paste video URLs from YouTube, Vimeo, Facebook, TikTok, Instagram, and most other video platforms. The tool fetches and transcribes URLs without requiring downloads.
Does it support multiple languages?
Yes, 99 languages including Spanish, French, German, Chinese, Japanese, Arabic, Portuguese, Korean, and Hindi. The AI auto-detects the spoken language, or you can select it manually before transcribing. No language limits on free tier.
Can I get speaker identification?
Yes. Speaker identification runs automatically and labels each speaker separately. Every sentence is timestamped and linked to its position in the video. This works best with clear audio and distinct voices. No manual setup required.
How long does video to text conversion take?
Most videos process in 2-3 minutes regardless of length. A 45-minute lecture and a 2-minute clip take roughly the same processing time. Processing starts immediately after upload with no queue delays.
What export formats are available?
TXT (plain text), DOC (Microsoft Word), PDF, and SRT (subtitle format). The tool also generates a shareable link. You can copy the full transcript to clipboard at any time or export in multiple formats simultaneously.
