Beyond OCR: AI Unlocks Document Structure and Vision - Episode Hero Image

Beyond OCR: AI Unlocks Document Structure and Vision

Original Title:

Resources

Resources & Recommendations

Tools & Software

  • Tesseract - A classic OCR tool mentioned as an example of typical OCR models.
  • Paddle OCR - Another example of a typical OCR model.
  • Docling (IBM) - A toolkit and concept for document structure models, used to predict the structure of a document rather than just extracting text.
  • Marked-down (Microsoft) - A toolkit similar to Docling, used in retrieval augmented generation (RAG) systems to preserve document structure.
  • Quinn 25 Vision Language Model - A specific language vision model that the speakers have used, noted for being a good model.
  • DeepSeek OCR - A newer model that processes documents by splitting them into high-resolution image tokens combined with a global full-resolution view, aiming to preserve more detail than traditional vision language models.

Organizations & Institutions

  • IBM - Developed the Docling toolkit for document processing.
  • Hugging Face - Released a smaller Docling model suitable for constrained environments.
  • Microsoft - Developed the Marked-down toolkit, used in RAG systems.

Websites & Online Resources

  • practicalai.fm - The podcast's official website.
  • LinkedIn - A platform to connect with the podcast for updates and insights.
  • X - A platform to connect with the podcast for updates and insights.
  • Blue Sky - A platform to connect with the podcast for updates and insights.
  • predictionguard.com - Website for Prediction Guard, a partner providing operational support for the show.

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This content is a personally curated review and synopsis derived from the original podcast episode.