edit lu pr #205935

Author: laujan

articles/applied-ai-services/form-recognizer/includes/input-requirements.md

@@ -12,10 +12,10 @@ ms.custom: ignite-fall-2021
 * For best results, provide one clear photo or high-quality scan per document.
 * 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.
 * 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 for analyzing documents must be _less than_ 500-MB for paid (S0) tier and 4-MB for free (F0) tier.
+* The file size for analyzing documents 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 px x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
 * If your PDFs are password-locked, you must remove the lock before submission.
-* 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).
+* 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).
 * 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.
-* For custom model training, the total size of training data is 50-MB for template model and 1G-MB for the neural model.
+* For custom model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model.