Extract text from Base64-encoded images with line-level OCR recognition.
npx skills add https://github.com/qq5855144/GitHubM --skill accurate-ocr
Please help me install this Agent Skill. Skill: accurate-ocr Source: https://github.com/qq5855144/GitHubM/tree/main/.skills/accurate-ocr Command: npx skills add https://github.com/qq5855144/GitHubM --skill accurate-ocr
This Skill removes the manual burden of reading text from images by turning screenshots, scans, and photos into accurate, structured text output.
Use the accurate-ocr skill to extract all readable text from the attached image and return the recognized lines in order.
High-intent search queries and answers about installing and using this skill.
High-accuracy OCR extracts text from images by processing Base64-encoded inputs of scanned documents or screenshots. It returns recognized lines in order, handling paragraph structures and confidence levels for clean text output.
Yes, multilingual recognition supports mixed-language text within a single image. You can specify optional language and direction controls to accurately capture Chinese, English, Japanese, Korean, French, and other common language types simultaneously.
Handling OCR confidence and API errors requires parsing the structured response payload returned after image text extraction. The system explicitly outputs line-level confidence scores, paragraph groupings, and API error states for programmatic handling.
Yes, this OCR supports an integration-friendly workflow using an Edge Function proxy pattern. This allows secure app-side image text extraction and API usage directly within web and MiniProgram projects without exposing backend credentials.
The best way to digitize photographed receipts and meeting notes is using high-accuracy OCR for document digitization. It converts phone photos of forms and notes into clean, structured text that can be archived or fed into downstream automation.
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