Large Files · Multi-Speaker

Large video files.
Multi-speaker transcription.

Built for the raw, multi-gigabyte panel recording or workshop master file. Pxlify chunks the upload, runs diarized AI transcription end-to-end, and stitches the result into a single timeline with stable speaker IDs.

  • Free up to 60 min
  • ·
  • 100% word accuracy
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  • Speaker labels included
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  • 99+ languages
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Audio / Video File

Drag & Drop

MP3, MP4, M4A, MOV, AAC, WAV, OGG, OPUS, MPEG, WMA, WMV

— OR —
Or see interactive demo below
Free tier — no signup to try Speaker diarization included SRT, VTT, ASS, JSON, TXT, DOCX exports
Word accuracy100%State-of-the-art ASR benchmark
Free transcript pool60 minNo credit card · cancel anytime
Languages supported99+Auto-detect + manual select

Large-File Transcription Pipeline

Watch the exact pipeline that runs when you upload media to Pxlify.

pxlify_ai_engine_processor
Active Simulation
1

Upload & Extract

explainer_video.mp4

2

Whisper Speech AI

Converting audio to words...

3

Studio Transcripts

Synced SRT & VTT Exports

explainer_video.mp4

0%

Extracting high fidelity audio streams...

Built for long multi-speaker video files

Multi-GB uploads. Stable speaker IDs across the entire timeline. No re-encode required.

Timed Highlights

Aligns audio signals with precise segment timestamps, ensuring transcripts fit video timelines perfectly.

Whisper Speech Model

Leverages neural transcription frameworks to capture speech patterns, technical terms, and complex vocabulary.

Multi-Format Exports

Export to SRT, WebVTT, Advanced SSA (.ass), JSON, Word (.docx), or a clean speaker-script TXT — ready for YouTube, Netflix-style subbing pipelines, and short-form video editors alike.

Interactive Playback

Click any word or timestamp in the transcript to jump the video directly to that spoken segment.

Privacy Secured

Local preprocessing allows you to play and test files locally in the browser sandbox before uploads are triggered.

Inline Studio Editor

Refine and update text segments directly on the dashboard with instantaneous state synchronization.

Transcribe a large multi-speaker file in 3 steps

Upload, wait, export.

01

Upload your video

Drag in a local file (.mp4, .webm, .mov) or pick an existing recording from your library.

02

Auto-generate timestamps

Pxlify analyzes the audio, splits it into speech segments, and timestamps every line automatically.

03

Refine & export

Search segments, edit lines inline, sync playback timings, then export to SRT, VTT, ASS, JSON, DOCX, or speaker-script TXT.

Large-file transcription FAQs

What's the largest file the software accepts?+

Multi-GB uploads on Pxlify Pro. The free tier is best for clips under an hour; longer raw masters need Pro.

Are speaker IDs stable across a 3-hour file?+

Yes. The diarizer tracks identity across the whole timeline rather than resetting per chunk.

Can I edit a long transcript without lag?+

Yes. The Studio virtualizes the segment list so a 10,000-line transcript stays as snappy as a 100-line one.

What exports work for long-form?+

All of them — SRT, VTT, ASS, JSON, TXT, DOCX. Long-form JSON includes word-level timestamps for editor importers.