Document AIUnclaimed

PaddleOCR

An open-source optical character recognition system that extracts text and structured data from documents and images

Also known as
paddleocr

What is PaddleOCR?

An open-source OCR platform that recognizes text, tables, and document layouts across multiple languages and scenarios. It provides both free API access and self-hosted deployment options.

Independently observed

PaddleOCR pricing

We don't have PaddleOCR's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
FreeFree tier

Free API access with 20,000 pages daily limit. Open source.

What PaddleOCR does

The capabilities that matter for document ai, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Prebuilt models
✓
Custom model training
-
Table extraction
✓
Handwriting recognition
-
Id document parsing
-
Human in the loop review
-
Confidence scoring
-
LLM vlm based extraction
✓
RPA ERP integration
-
Open source
✓
Independently observed

Platform & deployment

Independently observed
Platforms
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

PaddleOCR FAQ

Common questions about PaddleOCR, answered from independent, dated evidence.

What is PaddleOCR?

PaddleOCR is an open-source OCR library that uses advanced machine learning algorithms to recognize and extract text from images and PDF documents. It offers a free cloud API service with support for large-scale batch document processing. It is indexed under Document AI.

Source: https://paddlepaddle.github.io/PaddleOCR/

Is PaddleOCR free to use?

PaddleOCR is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://paddlepaddle.github.io/PaddleOCR/

What platforms does PaddleOCR support?

We have confirmed browser-based access to PaddleOCR. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.

Source: https://paddlepaddle.github.io/PaddleOCR/

Can PaddleOCR be self-hosted?

We have only confirmed a cloud / SaaS deployment for PaddleOCR, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.

Source: https://paddlepaddle.github.io/PaddleOCR/

Is PaddleOCR open source?

Yes. PaddleOCR is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/paddlepaddle/PaddleOCR

PaddleOCR alternatives

Other document ai we track, ranked by the same independent score.

All PaddleOCR alternatives, ranked →

Compare PaddleOCR

Side by side against other document ai, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for PaddleOCR, not the verdict.

Balanced composite 52 / 100
low · 28%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Release cadence920.087.4✓
Capabilities670.085.4✓
Stars940.054.4✓
Dependent projects460.052.5✓
Development activity150.142.0✓
Integrations00.050.0-
Security posture00.120.0-
Package downloads00.040.0-
Security score00.050.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d2mediumsource · 2026-10-14 · 65%

Adoption

AttributeValueEvidence
Github stars91,086highsource · 2026-10-14 · 90%
Dependent repos549highsource · 2026-10-14 · 85%

Content

AttributeValueEvidence
Faq5 itemsmediumsource · 2026-09-10 · 67%

Features

AttributeValueEvidence
CapabilitiesOpen source, Prebuilt models, Table extraction, Llm vlm based extractionmediumsource · 2026-10-14 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-14 · 95%

Pricing

AttributeValueEvidence
TransparentYesmediumsource · 2026-10-14 · 60%
Free tierYesmediumsource · 2026-10-14 · 60%
Modelfreemediumsource · 2026-10-14 · 60%
Price levelfreemediumsource · 2026-10-14 · 60%

Release

AttributeValueEvidence
Cadence days15mediumsource · 2026-10-14 · 70%
History20 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=paddleocr&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
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