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Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/includes/input-requirements.md
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: include
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ms.date: 04/14/2022
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ms.date: 07/27/2022
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ms.author: lajanuar
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ms.custom: ignite-fall-2021
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* For best results, provide one clear photo or high-quality scan per document.
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* Supported file formats: JPEG/JPG, PNG, BMP, TIFF, and PDF (text-embedded or scanned). Text-embedded PDFs are best to eliminate the possibility of error in character extraction and location. Additionally, the newest API version `2022-06-30-preview` supports Microsoft Word (DOCX), Excel (XLS), PowerPoint (PPT), and HTML files in Read model.
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* For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
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* The file size for analyzing must be less than 500MB for paid (S0) tier and 4MB for free (F0) tier.
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* Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
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* The file size for analyzing documents must be _less than_ 500-MB for paid (S0) tier and 4-MB for free (F0) tier.
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* Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels.
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* PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
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* If your PDFs are password-locked, you must remove the lock before submission.
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* The minimum height of the text to be extracted is 12 pixels for a 1024X768 image. This dimension corresponds to about eight font point text at 150 DPI.
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* For custom model training, the maximum number of pages for training data is 500 for template model and 50,000 for neural model.
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* For custom model training, the total size of training data is 50MB for template model and 1GB for neural model.
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* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8 point text at 150 dots per inch (DPI).
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* For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.
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* For custom model training, the total size of training data is 50-MB for template model and 1G-MB for the neural model.
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