Hi @Sriramsubramaniyan Nadarajan,
Thank for your query regarding the table extraction. To extract data from tables in the OCR response of Form Recognizer or Document Intelligence, you typically need to parse the tables element cell by cell. While Form Recognizer provides detailed cell information, there isn't a direct method to extract the entire table at once without parsing each cell. However, you can simplify this process by using prebuilt models or training custom models to handle specific structured content, which can help map headers and organize the data more efficiently.
For more info see: Analyze document table extraction.
To avoid issues with unclear cell borders causing data to be extracted as a single cell, ensure your tables have clearly defined borders and sufficient spacing. Preprocessing documents to enhance table lines or using higher resolution scans can help. Training a custom model with Form Recognizer tailored to your document layout can also improve table detection and data extraction accuracy.
See the page: Input requirements
For best practice to achieve higher accuracy, see: Ensure high model accuracy.
Hope this helps. Do let us know if you any further queries.
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