For complex document recognition problems, the following optimization strategies are recommended: first try to switch to different OCR models, such as for documents containing tables and formulas can be prioritized to use MinerU or PP-StructureV3 model. Secondly, the clarity of the document can be adjusted to ensure that the scanning or shooting quality meets the recognition requirements. For special content such as handwriting, it may be necessary to try different model combinations several times. Registered users can utilize the multi-model comparison function and test in parallel to find out the best solution. If problems persist, it is recommended to contact the technical support team to provide sample documents for targeted optimization. The platform regularly updates the model algorithms, so stay tuned for updates to get better recognition results.
This answer comes from the articleAI Fast Station: document parsing tool for comparing OCR models in one clickThe
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