Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities
READ THE ORIGINAL SOURCEOpen original sourcehuggingface.co · Opens in a new tabYoutu-Parsing-Omni is a 5B-parameter omni-modal parser that converts documents, images, charts, flowcharts, geometry figures, audio, and video into one structured JSON envelope covering perception (layout, text, tables, formulas, bounding boxes, timestamps, ASR, OCR, acoustic events, camera motion) and cognition (captions, narratives, reports). It uses a shared encoder for all modalities and a unified schema across parsing tasks, and reports state-of-the-art results on OmniDocBench v1.6 and the best open-weight result on OmniParsingBench.
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- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
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Youtu-Parsing-Omni is a 5B-parameter omni-modal parser that converts documents, images, charts, flowcharts, geometry figures, audio, and video into one structured JSON envelope covering perception (layout, text, tables, formulas, bounding boxes, timestamps, ASR, OCR, acoustic events, camera motion) and cognition (captions, narratives, reports). It uses a shared encoder for all modalities and a unified schema across parsing tasks, and reports state-of-the-art results on OmniDocBench v1.6 and the best open-weight result on OmniParsingBench.
A READER'S EVIDENCE CHECKHow to read this signalSix questions about claims, sources, risks, and open checks
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- 01Who is making each claim?
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- 02What was actually tested?
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- 03Where are the sources?
Original link: huggingface.co. Brief basis: fetched source page. Primary page date and quote locations are not established in this panel.
- 04What could mislead?
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- 05What is at risk if wrong?
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- 06What would change the view?
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Key findings from the stored brief
- A single 5B model parses seven input families through one JSON envelope driven by the task prompt.
- Youtu-Omni-Encoder encodes all modalities with shared weights in a unified space-time coordinate system.
- It reports 96.96 Overall on OmniDocBench v1.6 and 75.08 Avg. on OmniParsingBench, the best open-weight result.
- The OmniParsingBench advantage is described as concentrated on audio and video.
Source claims not independently checked; benchmark results are self-reported by the authors.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
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Timeline & updates
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Why this may matter
A compact model producing grounded, time-aligned structured records across documents, audio, and video could give agents a unified perception layer for reading and citing evidence across modalities.
Limits and open questions
Source claims not independently checked; benchmark results are self-reported by the authors.
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Discussion
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