Auto caption generator
with speaker identification.
Skip the generic 'one voice' captioner. Pxlify identifies each speaker, tags every caption line with a stable ID, and exports diarized SRT, VTT, and ASS — out of the box, no plugins.
- Free up to 60 min
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- 100% word accuracy
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- Speaker labels included
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- 99+ languages
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Drag & Drop
MP3, MP4, M4A, MOV, AAC, WAV, OGG, OPUS, MPEG, WMA, WMV
Captions + Speaker ID Pipeline
Watch the exact pipeline that runs when you upload media to Pxlify.
Upload & Extract
explainer_video.mp4
Whisper Speech AI
Converting audio to words...
Studio Transcripts
Synced SRT & VTT Exports
explainer_video.mp4
Extracting high fidelity audio streams...
Auto captions, with speakers actually identified
Speaker tags on every line. Stable IDs across the timeline. Editable inline.
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.
Generate captions with speaker IDs in 3 steps
Upload, review speakers, export.
Upload your video
Drag in a local file (.mp4, .webm, .mov) or pick an existing recording from your library.
Auto-generate timestamps
Pxlify analyzes the audio, splits it into speech segments, and timestamps every line automatically.
Refine & export
Search segments, edit lines inline, sync playback timings, then export to SRT, VTT, ASS, JSON, DOCX, or speaker-script TXT.
Captions + speaker ID FAQs
Yes. SRT uses [Speaker A] prefixes, VTT uses <v Speaker A>, ASS uses the Name field. No post-processing needed.
Yes. Rename once and the new label flows into every caption line.
Yes. Up to ten speakers is the supported range, plenty for typical panels and round-tables.
Overlap is detected and the dominant speaker per slice is tagged. Heavy crosstalk degrades like any system, but typical interviews stay clean.