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rishabhdugar

Image OCR Parse

by Rishabh Dugar · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
81
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1
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1
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3
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Install in OpenClaw
/install image-ocr-parse
Description
Extract text from images via the PDFAPIHub cloud OCR API. Images are uploaded to pdfapihub.com for Tesseract OCR processing. Supports preprocessing (grayscal...
README (SKILL.md)

Image OCR Parse

What It Does

Extracts text from images via the PDFAPIHub hosted OCR API. Your image is uploaded to PDFAPIHub servers where Tesseract OCR processes it and returns the extracted text. Supports optional image preprocessing to improve OCR quality on low-resolution or noisy inputs.

When to Use

  • Extract text from photos of receipts, signs, or documents
  • OCR business cards, ID cards, or labels
  • Process low-quality images with preprocessing

Required Inputs

Provide one of:

  • image_url — URL to an image
  • base64_image — base64-encoded image
  • Multipart upload with file field

Authentication

This skill calls the PDFAPIHub hosted API at https://pdfapihub.com/api. Your image is uploaded to PDFAPIHub servers for OCR processing.

Send your API key in the CLIENT-API-KEY header.

Get your free API key at https://pdfapihub.com. Full API documentation is available at https://pdfapihub.com/docs.

Privacy note: Images you process are uploaded to PDFAPIHub's cloud service and the extracted text is returned. Do not send sensitive images unless you trust the service. Files are auto-deleted after 30 days.

Use Cases

  • Receipt Scanning — Extract text from receipt photos for expense tracking
  • Business Card Reader — OCR business card images to extract name, phone, email
  • License Plate Recognition — Extract plate numbers from photos (with char_whitelist)
  • Meter Reading — Extract digits from utility meter photos for automated logging
  • Whiteboard Capture — OCR whiteboard or handwritten note photos into text
  • Product Label Scanning — Extract ingredient lists or nutrition info from product label photos

Image Preprocessing Options

Param Default Description
grayscale false Convert to grayscale
sharpen false Apply sharpening
threshold 0 Binarization threshold (1–255)
resize 0 Scale factor (max 4x)

Example Usage

curl -X POST https://pdfapihub.com/api/v1/image/ocr/parse \
  -H "CLIENT-API-KEY: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://pdfapihub.com/sample-invoicepage.png",
    "lang": "eng",
    "grayscale": true,
    "sharpen": true,
    "detail": "words"
  }'
Usage Guidance
This skill is coherent but remember it sends your images and the extracted text to a third party (pdfapihub.com). Do not upload sensitive images (IDs, passports, medical records, passwords) unless you trust the provider and their retention policy (the SKILL.md claims files are auto-deleted after 30 days). Before installing or using: verify the service domain and privacy/terms pages, use a dedicated API key with limited scope if possible, monitor for unexpected billing, rotate the key if it is ever exposed, and consider local/offline OCR if you need stronger privacy guarantees.
Capability Analysis
Type: OpenClaw Skill Name: image-ocr-parse Version: 1.0.2 The skill is a standard API wrapper for the PDFAPIHub OCR service. It transparently documents its functionality, requires a user-provided API key (PDFAPIHUB_API_KEY), and explicitly warns users that images are uploaded to a third-party cloud service (pdfapihub.com) for processing. No malicious code, obfuscation, or prompt-injection attacks were identified.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name/description and declared requirements match: the skill calls a hosted OCR API (pdfapihub.com) and requires PDFAPIHUB_API_KEY. There are no unrelated env vars or binaries requested.
Instruction Scope
SKILL.md explicitly instructs uploading images (image_url, base64_image, or multipart file) to https://pdfapihub.com/api and sending the API key in the CLIENT-API-KEY header. It does not instruct reading unrelated files, environment variables, or system state. It also contains a privacy warning about uploads.
Install Mechanism
No install spec or code files; instruction-only skill. No downloads or archive extraction are performed by the skill itself.
Credentials
Only a single API key (PDFAPIHUB_API_KEY) is required, which is proportional to contacting the external OCR service. The primaryEnv matches the header name documented in SKILL.md/skill.json.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent or cross-skill configuration changes and does not demand elevated platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install image-ocr-parse
  3. After installation, invoke the skill by name or use /image-ocr-parse
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Declare required credential in SKILL.md metadata (primaryEnv + requires.env). Fixes registry showing no required env vars.
v1.0.1
Clarify hosted API (images uploaded to PDFAPIHub). Add privacy notice. Declare CLIENT-API-KEY credential in description.
v1.0.0
OCR images using Tesseract with optional preprocessing (grayscale, sharpen, threshold, resize). Supports character whitelisting for digits-only extraction. Returns text with confidence scores and optional word-level bounding boxes.
Metadata
Slug image-ocr-parse
Version 1.0.2
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Image OCR Parse?

Extract text from images via the PDFAPIHub cloud OCR API. Images are uploaded to pdfapihub.com for Tesseract OCR processing. Supports preprocessing (grayscal... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.

How do I install Image OCR Parse?

Run "/install image-ocr-parse" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Image OCR Parse free?

Yes, Image OCR Parse is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Image OCR Parse support?

Image OCR Parse is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Image OCR Parse?

It is built and maintained by Rishabh Dugar (@rishabhdugar); the current version is v1.0.2.

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