Merge pull request #196326 from laujan/form-recognizer-update-file-size-directive

update input directives

Author: denrea

articles/applied-ai-services/form-recognizer/concept-business-card.md

@@ -78,16 +78,13 @@ You'll need a business card document. You can use our [sample business card docu
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.

articles/applied-ai-services/form-recognizer/concept-custom.md

@@ -149,16 +149,13 @@ The following table describes the features available with the associated tools a
 > Custom template models trained with the 3.0 API will have a few improvements over the 2.1 API stemming from improvements to the OCR engine. Datasets used to train a custom template model using the 2.1 API can still be used to train a new model using the 3.0 API.
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats are JPEG, 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.
+* Supported file formats are 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.
 * For PDF and TIFF files, up to 2,000 pages can be processed. With a free tier subscription, only the first two pages are processed.
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values. They can't appear below or to the right.
 
   > [!TIP]
   > Training data:

articles/applied-ai-services/form-recognizer/concept-general-document.md

@@ -101,16 +101,13 @@ The key value pair extraction model and entity identification model are run in p
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 ## Supported languages and locales
 

articles/applied-ai-services/form-recognizer/concept-id-document.md

@@ -78,16 +78,13 @@ You'll need an ID document. You can use our [sample ID document](https://raw.git
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.

articles/applied-ai-services/form-recognizer/concept-invoice.md

@@ -76,16 +76,13 @@ You'll need an invoice document. You can use our [sample invoice document](https
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.
@@ -147,7 +144,7 @@ Following are the line items extracted from an invoice in the JSON output respon
 | Unit | String| The unit of the line item, e.g,  kg, lb etc. | Hours | |
 | Date | Date| Date corresponding to each line item. Often it's a date the line item was shipped | 3/4/2021| 2021-03-04 |
 | Tax | Number | Tax associated with each line item. Possible values include tax amount, tax %, and tax Y/N | 10% | |
-| VAT | Number | Stands for Value added tax. This is a flat tax levied on an item. Common in european countries | €20.00 | |
+| VAT | Number | Stands for Value added tax. This is a flat tax levied on an item. Common in European countries | €20.00 | |
 
 The invoice key-value pairs and line items extracted are in the `documentResults` section of the JSON output. 
 

articles/applied-ai-services/form-recognizer/concept-layout.md

@@ -89,9 +89,9 @@ You'll need a form document. You can use our [sample form document](https://raw.
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB (4 MB for the free tier).
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier (4 MB for the free tier).
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 
 > [!NOTE]

articles/applied-ai-services/form-recognizer/concept-model-overview.md

@@ -196,9 +196,6 @@ A composed model is created by taking a collection of custom models and assignin
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.

articles/applied-ai-services/form-recognizer/concept-read.md

@@ -64,9 +64,9 @@ See how text is extracted from forms and documents using the Form Recognizer Stu
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB (4 MB for the free tier)
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier (4 MB for the free tier)
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 
 ## Supported languages and locales

articles/applied-ai-services/form-recognizer/concept-receipt.md

@@ -78,16 +78,13 @@ You will need a receipt document. You can use our [sample receipt document](http
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10000 x 10000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 ## Supported languages and locales v2.1
 

articles/applied-ai-services/form-recognizer/concept-w2.md

@@ -59,16 +59,13 @@ See how data is extracted from W-2 forms using the Form Recognizer Studio. You'l
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.
-* Supported file formats: JPEG, 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.
+* 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.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 50 MB.
+* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* For unsupervised learning (without labeled data):
-  * Data must contain keys and values.
-  * Keys must appear above or to the left of the values; they can't appear below or to the right.
 
 ## Supported languages and locales