![]() ![]() For example, a middle name field may be left blank on a form in some instances. Keys can also exist in isolation when the model detects that a key exists, with no associated value or when processing optional fields. The AI model is trained to extract identifiable keys and values based on a wide variety of document types, formats, and structures. In an invoice, these pairs could be the label and the value the user entered for that field or telephone number. Key-value pairs are specific spans within the invoice that identify a label or key and its associated response or value. The prebuilt invoice and later releases support returns key-value pairs at no extra cost. The invoice key-value pairs and line items extracted are in the documentResults section of the JSON output. Possible values include tax amount, tax %, and tax Y/N Often it's a date the line item was shipped The unit of the line item, e.g, kg, lb etc.ĭate corresponding to each line item. Product code, product number, or SKU associated with the specific line item The net or gross price (depending on the gross invoice setting of the invoice) of one unit of this item The text description for the invoice line item Name associated with the RemittanceAddressįirst date for the service period (for example, a utility bill service period)Įnd date for the service period (for example, a utility bill service period)įollowing are the line items extracted from an invoice in the JSON output response (the output below uses this sample invoice) Name Total new charges associated with this invoiceĮxplicit service address or property address for the customerĮxplicit remittance or payment address for the customer Total VAT field identified on this invoice Total tax field identified on this invoice Subtotal field identified on this invoice The taxpayer number associated with the customerĮxplicit billing address for the customerĮxplicit shipping address for the customer The taxpayer number associated with the vendor ID for this specific invoice (often "Invoice Number") This is a limitation of the tool not the Form Recognizer Service. The Sample Labeling tool does not support the BMP file format. This dimension corresponds to about 8-point text at 150 dots per inch (DPI).įor 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.įor custom model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model. The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. If your PDFs are password-locked, you must remove the lock before submission. Example invoices pdf#PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller. ![]() Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels. Example invoices for free#The file size for analyzing documents must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier. ✱ Microsoft Office files are currently not supported for other models or versions.įor PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed). Microsoft Office: Word (DOCX), Excel (XLS), PowerPoint (PPT), and HTML Try Form Recognizer Studio Input requirementsįor best results, provide one clear photo or high-quality scan per document. You can analyze the sample invoice or select the + Add button to upload your own sample. On the Form Recognizer Studio home page, select Invoices After your resource deploys, select Go to resource to get your key and endpoint. You can use the free pricing tier ( F0) to try the service. You'll need the following resources:Īn Azure subscription-you can create one for freeĪ Form Recognizer instance in the Azure portal. See how data, including customer information, vendor details, and line items, is extracted from invoices using the Form Recognizer Studio. The following tools are supported by Form Recognizer v2.1: Feature ![]() The following tools are supported by Form Recognizer v3.0: Feature Sample invoice processed with Form Recognizer Studio: The model currently supports both English and Spanish invoices. The API analyzes invoice text extracts key information such as customer name, billing address, due date, and amount due and returns a structured JSON data representation. Invoices can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The invoice model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key fields and line items from sales invoices. ![]()
1 Comment
11/28/2022 10:02:27 am
Thanks for sharing such a informative blog! ANNA free invoice app is a better alternative to spreadsheets. With ANNA Money, you can skip the manual work of creating, chasing and sending invoices. Just chat us the details or take a picture of your old invoice and we will generate a new one automatically.
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