by Sudhanshu1304 · Agent Tool · ★ 92
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🌟 Table Extraction Tool: OCR & Computer Vision for Structured Data Overview Table Transformer is an advanced open-source tool that leverages state-of-the-art OCR and computer vision techniques to extract structured tabular data from images. It is ideal for enhancing LLM preprocessing, powering data analysis pipelines, and automating your data extraction tasks. Features 📊 Automatic Table Detection: Effortlessly detect tables in images. 📝 OCR-based Document Processing: Extract text with high accuracy. 🧠 Integrated Models: Seamlessly combine OCR and table detection models. 💾 Flexible Export Options: Export data as DataFrame, HTML, CSV, and more. Tool Overview <!-- Second Row -
| Stars | 92 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.3/100 |
| Open Issues | 4 |
| Last Updated | 2025-02-22 |
| Created | 2025-01-23 |
| Platforms | python |
| Est. Tokens | ~3370k |
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table-transformer is 🔍 Table Extraction Tool: A powerful open-source solution combining OCR and computer vision for extracting structured tabular data from images. Ideal for LLM preprocessing, data analysis, and automati. It is categorized as a Agent Tool with 92 GitHub stars.
table-transformer is primarily written in Python. It covers topics such as computer-vision, data-science, data-structures-and-algorithms.
You can find installation instructions and usage details in the table-transformer GitHub repository at github.com/Sudhanshu1304/table-transformer. The project has 92 stars and 21 forks, indicating an active community.
table-transformer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to table-transformer on Agent Skills Hub include Construction-Hazard-Detection, llms-tools, imagesorcery-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.