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We used DeepSeek OCR to extract every dataset from tables/charts ac...

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Type: Content Original link: https://x.com/askalphaxiv/status/1980722479405678593?s=43&t=ANuJI-IuN5rdsaLueycEbA Publication date: 2025-10-23


Summary
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WHAT - This tweet discusses a comparison between DeepSeek OCR and Mistral OCR for extracting datasets from tables and charts in over 500,000 AI articles on arXiv.

WHY - It is relevant for the AI business because it demonstrates the efficiency and reduced cost of DeepSeek OCR compared to a competitor, highlighting opportunities for savings and improvement in data extraction from academic documents.

WHO - The main players are DeepSeek (developer of DeepSeek OCR) and Mistral (developer of Mistral OCR), with a focus on researchers and companies that use arXiv for scientific literature.

WHERE - It positions itself in the market for OCR solutions for data extraction from academic and scientific documents, with a focus on efficiency and cost.

WHEN - The tweet is recent, indicating a current comparison between two OCR tools, with DeepSeek OCR emerging as a more cost-effective and potentially more efficient solution.

BUSINESS IMPACT:

  • Opportunities: Adoption of DeepSeek OCR to reduce operational costs in dataset extraction from academic documents.
  • Risks: Competition with existing OCR solutions like Mistral OCR, which may offer additional or improved features.
  • Integration: Possible integration of DeepSeek OCR into the existing stack to automate data extraction from scientific articles.

TECHNICAL SUMMARY:

  • Core technology stack: Not specified, but it probably includes optical character recognition (OCR) technologies and machine learning for data extraction from tables and charts.
  • Scalability: DeepSeek OCR has demonstrated scalability for processing over 500,000 articles, indicating a good ability to handle large volumes of data.
  • Key technical differentiators: Significantly lower cost compared to Mistral OCR for the same task, suggesting a competitive advantage in terms of economic efficiency.

Use Cases
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  • Private AI Stack: Integration into proprietary pipelines
  • Client Solutions: Implementation for client projects
  • Strategic Intelligence: Input for technological roadmap
  • Competitive Analysis: Monitoring AI ecosystem

Resources
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Original Links #


Article suggested and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-10-23 13:55 Original source: https://x.com/askalphaxiv/status/1980722479405678593?s=43&t=ANuJI-IuN5rdsaLueycEbA

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