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https://github.com/ikivanc/ocrvisualizer
Microsoft Cognitive Services, Computer Vision API, OCR Visualizer on documents
https://github.com/ikivanc/ocrvisualizer
cognitive-services computer-vision microsoft-cognitive-services ocr ocr-visualizer
Last synced: about 1 month ago
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Microsoft Cognitive Services, Computer Vision API, OCR Visualizer on documents
- Host: GitHub
- URL: https://github.com/ikivanc/ocrvisualizer
- Owner: ikivanc
- Created: 2018-12-10T12:27:54.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T01:47:29.000Z (about 2 years ago)
- Last Synced: 2023-02-27T14:47:54.182Z (almost 2 years ago)
- Topics: cognitive-services, computer-vision, microsoft-cognitive-services, ocr, ocr-visualizer
- Language: C#
- Size: 7.46 MB
- Stars: 19
- Watchers: 1
- Forks: 5
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# OCR Visualizer
OCRVisualizer is a tool to visualize Microsoft Cognitive Services OCR API json output to get familiar with bounding boxes of Regions, Lines and Words. It's written in C#/WPF.This tool will be helful for your data discovery, if you use OCR with your documents.
The new preview OCR engine is integrated (through "Recognize Text" API operation) with even better text recognition results for English.
## Main Functinality
In this version;* You can see bounding boxes of `Regions`, `Lines` and `Words`
* You can select layers of bounding boxes to visualize under `OCR Text Visibility` menu
* You can see extracted text over your original document
* You can extract full text as output
* You extract Key-Value Pairs
* Better results with new preview OCR engine (through "Recognize Text", only in English)## Run Executable File
If you would like to test OCR visualizer on your local, download Setup File and update with your `subscription Key` and `endpoint` in `OCR Settings`. After defining your endpoint you can visualize your OCR documents via `Browse`.* [Download OCRVisualizer Executable File on Windows](Setup/Release_Setup.zip)
![](screenshots/setup.png)
## Build the project
Please change in `App.config` file below code snippet with your Cognitive Services Computer Vision API subscription key and if your service hosted other than `northeurope` region, change the region with yours.
Microsoft Cognitive Services Computer Vision Endpoint details.
```json
```
## Field Extraction - Key-Value Pairs
If you're looking for a specific value of a field, you can use this feature. After defining your field names, it'll look for a certain pixel to retrieve group of text as a value. Here is how it works.
![](screenshots/FieldExtraction.png)
Now you can define your `Field Extraction` under Key-Value pairs in `Manage Key-Value` under `Field Extraction` menu and values of these fields will be detected by their positions on the document and detected values will be listed in same panel.
![](screenshots/ExtractKeyValueSettings.png)
Here are some examples of of output of documents.
Extract Key-Value Pairs
![](screenshots/ExtractKeyValue.png)
## Visualize Bounding Boxes
Now you can select layers of bounding boxes to visualize under `OCR Text Visibility` menu
![](screenshots/OCRTextVisibility.png)OCR for unstuctured documents.
![](screenshots/ocroutput2.png)OCR for a part of documents
![](screenshots/ocroutput1.png)OCR from full page documents
![](screenshots/ocroutput.png)For more information about Optical character recognition (OCR) in images | [Demo](https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/#text) | [Container Support](https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/computer-vision-how-to-install-containers)
## OCR Supported languages:
* unk (AutoDetect)
* zh-Hans (ChineseSimplified)
* zh-Hant (ChineseTraditional)
* cs (Czech)
* da (Danish)
* nl (Dutch)
* en (English)
* fi (Finnish)
* fr (French)
* de (German)
* el (Greek)
* hu (Hungarian)
* it (Italian)
* ja (Japanese)
* ko (Korean)
* nb (Norwegian)
* pl (Polish)
* pt (Portuguese,
* ru (Russian)
* es (Spanish)
* sv (Swedish)
* tr (Turkish)
* ar (Arabic)
* ro (Romanian)
* sr-Cyrl (SerbianCyrillic)
* sr-Latn (SerbianLatin)
* sk (Slovak)Thanks.