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Showing 5 resources for "ocr"
Saved
Active

1 trusted · 4 review in this set — compare to see which signals differ.

Trust snapshot

5 results in this view

Claimed
0%(0/5)

3 trust signals differ in this sample: Package trust, Source provenance, Submitter

Signals differ on Package trust, Source provenance, Submitter — add entries to compare before you install.

Rollout signal scan

2 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

5 scanned

Install payload

Install payload is broadly covered in current results.

good

80% (4/5)

Adoption queue

Browse adoption queue · balanced

1/5 visible results are in hold tier and need mitigation before adoption.

ready 0caution 4hold 1

Image OCR + Table Extraction Skill

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

skills/image-ocr-table-extraction · trust trusted · confidence 83%

Kreuzberg MCP Server

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

mcp/kreuzberg-mcp-server · trust review · confidence 67%

Markdownify MCP Server

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

mcp/markdownify-mcp-server · trust review · confidence 67%

Upsonic

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

tools/upsonic · trust review · confidence 67%

Docling

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/docling · trust review · confidence 50%

Decision confidence

Decision confidence scan · balanced

1/5 results are low-confidence and need review before adoption.

high 1medium 3low 1

Kreuzberg MCP Server

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/kreuzberg-mcp-server · trust review

Markdownify MCP Server

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/markdownify-mcp-server · trust review

Upsonic

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

tools/upsonic · trust review

Docling

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/docling · trust review

Freshness distribution

Mostly fresh with a few aging entries

Median age 52 days; 4 fresh, 1 aging or stale of 5 scanned.

median 52d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

20%

1 entry

Theme distribution

Results center on ocr

100% of this view shares the top theme. Leading themes: ocr, documents, python.

Focused

23 distinct themes across 5 scanned

Pull text out of images, scans, and PDFs with the Tesseract OCR engine and OpenCV preprocessing. Run OCR in 100+ languages, read per-word confidence and page orientation (OSD), binarize and deskew for accuracy, and reconstruct tables into CSV or JSON.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓
Upsonic logo

Python framework for autonomous AI agents, traditional agents, custom tools, MCP tools, prebuilt autonomous agents, workspace-restricted file and shell operations, E2B sandbox execution, OCR, document processing, and vector storage integrations.

Docling logo
Doclingby docling-project · submitted by davion-knight

Open-source toolkit from the Docling project for parsing PDF, DOCX, PPTX, XLSX, HTML, images, and more into a unified DoclingDocument, with advanced PDF understanding, OCR, and exports to Markdown and JSON for gen AI and RAG workflows.

Kreuzberg logo

Document intelligence MCP server for extracting text, metadata, OCR output, structured data, embeddings, chunks, cache state, and supported-format information from PDFs, Office files, images, code, and many other formats.

MCP server that converts PDFs, Office files, images, audio, webpages, YouTube transcripts, and existing Markdown files into Markdown.