Able2 Extract offers a robust, flexible, and high-accuracy solution for unstructured document data extraction. By combining modern NLP, computer vision, and rule-based validation, it significantly reduces manual data entry overhead. The system is open for extension, easy to deploy, and competitive with commercial cloud services. Future work will focus on handwriting recognition and adaptive few-shot learning.
If you have ever tried to copy a table from a PDF into Excel and ended up with a mess of jumbled text, this guide is for you. able2 extract
Custom PDF-to-Excel conversion with AI-powered templates . Able2 Extract offers a robust, flexible, and high-accuracy
This paper is released for informational purposes. For implementation or licensing inquiries, please contact the author. Future work will focus on handwriting recognition and
Perpetual license ($199.95) or 30-day license ($49.95). Powerful Data Extraction & Conversion
Users can selectively convert specific sections or pages, rather than entire documents.
[1] Jaume, G., et al. "FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents." ICDAR 2019. [2] Huang, Z., et al. "SROIE: Scanned Receipts OCR and Information Extraction." 2019. [3] Smock, B., et al. "PubTables-1M: Towards comprehensive table extraction from scientific documents." CVPR 2022. [4] Xu, Y., et al. "LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking." ACM MM 2022. [5] Tesseract OCR – https://github.com/tesseract-ocr/tesseract