Document Inputs
Documents in Mindee
Documents used in Mindee include semi-structured files such as an invoice, receipt, ID document, W9-forms, train-ticket etc.
File Types
Our APIs support different types of documents in different format ranging from images (JPG, PNG, WEBP, TIFF, HEIC) to scanned PDF or native PDF. When using PDF files or images, a maximum number of pages and file size is enforced depending on the document parsing API used. See Technical limitations for more information.
Payload Formats
We currently support three different payload formats when sending your document to our APIs:
- a binary file: via
multipart/form-data
encoding - a base64: encoded document via
application/json
encoding - a public URL: via
HTTPS
See Prediction for more information.
Working with Images
When it comes to images, our APIs have a quicker upload and processing time.
Supported Filetypes
We currently support .jpg
,.png
, .webp
, .tiff
and .heic
format.
Info
If you want faster processing, then images is a better option compared to PDFs. However, using PDFs works just as fine and will give accurate results as well.
Tips for Working With Images
- Reduce very heavy or big images: For faster upload and processing, downscale heavy and large images. However, resizing the image too much will make it impossible to read, as the text will get very small. The rule of thumb is that big images should be resized close to 3 megapixels.
- Do not upscale: Never upscale a low-resolution image on your side! This will decrease the algorithm accuracy. It is best to avoid very low-resolution images, if possible.
- Keep the aspect ratio: Never change the original aspect ratio.
- Do not preprocess images: It is not necessary to transform your image in black and white or change brightness/contrast.
- Limitations: There is a maximum number of images you can send, check the Documentation page of your selected API and see Technical limitations for more information.
Working with PDFs
Our APIs support multi-page PDF files. However, the processing time may be longer compared to image processing, because we need to convert the PDF to image first.
Tips for Working With PDFs
- Use native pdf: Native PDFs are easier to process and has a higher performance and accuracy rate than scanned PDF.
- Working with several pages: Your PDF may contain several pages. In this scenario, you will receive both predictions at the page level and at the document level. See JSON response scheme documentation for more details.
- Using the cutPdf option: cutPDF is available when using the SDKs. This option is used when sending multi pages pdf of more than 5 pages.
- Limitations: There is a maximum number of pages you can send, check the Documentation page of your selected API and see Technical limitations for more information.
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Updated about 2 years ago