The conversion quality of OCRFlux is mainly evaluated by the Edit Distance Similarity (EDS) metric, which reaches a high score of 0.967 on the standard test set, significantly better than similar tools. It is recommended to pay attention to it in practical use:
- Text accuracy: Recognition rate of special characters, formulas, and specialized terminology
- structural fidelity: Retention of title hierarchy, list numbering, table structure
- logical continuity: Whether cross-page content is naturally articulated
Recommended for use in the following scenarios:
- academic researchConvert PDF papers into editable Markdown for literature review and knowledge management.
- technical documentation: Convert API documentation or product manuals to build a structured knowledge base
- Financial processing: Extracts table data from invoices and supports accurate recognition of key fields such as amount and tax rate.
- content creation: Convert scanned books into electronic files, preserving the original typographic formatting
For documents up to 100 pages, high-quality conversions are typically completed in 5-10 minutes on the GTX 3090 graphics card.
This answer comes from the articleOCRFlux: Lightweight tool for converting PDFs and images to MarkdownThe
May not be reproduced without permission:AI productivity tools " How is the output quality of OCRFlux evaluated? What are the recommended usage scenarios?
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