•1 min read•from Machine Learning
Why Is Table Extraction with VLM Models Still Challenging? [D]
![Why Is Table Extraction with VLM Models Still Challenging? [D]](/_next/image?url=https%3A%2F%2Fpreview.redd.it%2Ftajjcvjt5jyg1.png%3Fwidth%3D140%26height%3D113%26auto%3Dwebp%26s%3D093a8b5a7ba7d0e240beef7a6803c7d0023e73ae&w=3840&q=75)
| Hey everyone, I’m struggling to find a good approach for converting PDFs to Markdown (especially for financial data). The main challenge is handling borderless tables and tables with more than 5–6 columns. I’ve tried docling, graphite-docling, marker, etc., but haven’t found a solid open-source solution. The only thing that works well so far is LandingAI (but it’s paid). Does anyone know of a good open-source alternative? TIA! Sample: [link] [comments] |
Want to read more?
Check out the full article on the original site
Tagged with
#financial modeling with spreadsheets
#generative AI for data analysis
#Excel alternatives for data analysis
#natural language processing for spreadsheets
#rows.com
#big data management in spreadsheets
#conversational data analysis
#financial modeling
#real-time data collaboration
#intelligent data visualization
#data visualization tools
#enterprise data management
#big data performance
#data analysis tools
#data cleaning solutions
#table extraction
#VLM models
#PDFs to Markdown
#financial data
#borderless tables