Beyond OCR: Advanced Document Intelligence
Visual Document Retrieval
Retrieve the most relevant documents when given a text query. You can build multimodal RAG pipelines by combining these with vision language models.
Document Question Answering
Instead of converting documents to text and passing to LLMs, feed your document and query directly to advanced vision language models like Qwen3-VL to preserve all context, especially for complex layouts.
The Future is Open
The past year has seen an incredible wave of new open OCR models, with organizations like AllenAI releasing not just models but also the datasets used to train them. This openness accelerates innovation across the community.
However, we need more open training and evaluation datasets to unlock even greater advances. Promising approaches include:
Synthetic data generation
VLM-generated transcriptions filtered manually or through heuristics
Using existing OCR models to generate training data for new, more efficient models
Leveraging existing corrected datasets
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