π€π§ LandingAI ADE Python SDK: Streamlining AI-Powered Document Understanding
ποΈ 22 Oct 2025
π AI News & Trends
In the age of AI automation, extracting structured data from documents has become a key part of many business workflows. From invoices and contracts to identity documents and research papers, organizations are relying on AI models to interpret and process information accurately. LandingAIβs ADE Python SDK β an official API client for the LandingAI ADE ...
#AIPowered #DocumentUnderstanding #LandingAI #ADEPythonSDK #AIAutomation #DataExtraction
ποΈ 22 Oct 2025
π AI News & Trends
In the age of AI automation, extracting structured data from documents has become a key part of many business workflows. From invoices and contracts to identity documents and research papers, organizations are relying on AI models to interpret and process information accurately. LandingAIβs ADE Python SDK β an official API client for the LandingAI ADE ...
#AIPowered #DocumentUnderstanding #LandingAI #ADEPythonSDK #AIAutomation #DataExtraction
β¨olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
π Summary:
olmOCR is an open-source toolkit that uses a fine-tuned vision language model to convert PDFs into clean, structured text. It enables large-scale, cost-effective extraction of trillions of tokens for training language models.
πΉ Publication Date: Published on Feb 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2502.18443
β’ PDF: https://arxiv.org/pdf/2502.18443
β’ Github: https://github.com/allenai/olmocr
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/davanstrien/test-olmocr2
β’ https://huggingface.co/datasets/davanstrien/newspapers-olmocr2
β’ https://huggingface.co/datasets/stckmn/ocr-output-Directive017-1761355297
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#OCR #VLMs #LLM #DataExtraction #OpenSource
π Summary:
olmOCR is an open-source toolkit that uses a fine-tuned vision language model to convert PDFs into clean, structured text. It enables large-scale, cost-effective extraction of trillions of tokens for training language models.
πΉ Publication Date: Published on Feb 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2502.18443
β’ PDF: https://arxiv.org/pdf/2502.18443
β’ Github: https://github.com/allenai/olmocr
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/davanstrien/test-olmocr2
β’ https://huggingface.co/datasets/davanstrien/newspapers-olmocr2
β’ https://huggingface.co/datasets/stckmn/ocr-output-Directive017-1761355297
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#OCR #VLMs #LLM #DataExtraction #OpenSource