pith:3LCHIT7F
PaddleOCR 3.0 Technical Report
PaddleOCR 3.0 shows models under 100 million parameters match billion-parameter vision-language models on OCR and document tasks.
arxiv:2507.05595 v1 · 2025-07-08 · cs.CV
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Claims
Compared to mainstream vision-language models (VLMs), these models with fewer than 100 million parameters achieve competitive accuracy and efficiency, rivaling billion-parameter VLMs.
The benchmarks used to claim competitiveness are representative of real-world use and do not contain undisclosed advantages in data selection or evaluation protocol.
PaddleOCR 3.0 releases compact open-source models for OCR, document structure parsing, and information extraction that rival billion-parameter VLMs.
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| First computed | 2026-05-17T23:39:19.863640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dac4744fe5c1eecf0e80955f411c1bbb9075f922086dba3861300c2853576ee0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LCHIT7FYHXM6DUASVPUCHA3XO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: dac4744fe5c1eecf0e80955f411c1bbb9075f922086dba3861300c2853576ee0
Canonical record JSON
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