No project description provided
Project description
OCR API Playground
We have build an OCR Model to extract data from images. It involves the following feature:
We have built an OCR which can read and extract English texts from an image.
It will also work with the texts of all the other languages like Bengali, Hindi etc. except for East Asian Languages like Chinese, Japanese, Korean etc.
We have also included a feature of drawing a bounding box around the specific area of the image which we want to extract and thus extract the particular portion.
We proposed a layer where we required a UI. A dummy UI pattern is drawn below.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Ocrversion2-0.2.0.tar.gz.
File metadata
- Download URL: Ocrversion2-0.2.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
92bcce3a6a41d290ab3eb31d8b5b196fcfdc50970ddb342df71c7cfa3b5ea151
|
|
| MD5 |
778a5df739657b4a5de2d186e0495e0f
|
|
| BLAKE2b-256 |
1509a669e086268611315116328d7ac55fe7f6f473cd1749e42ad2fe06257ea5
|
File details
Details for the file Ocrversion2-0.2.0-py3-none-any.whl.
File metadata
- Download URL: Ocrversion2-0.2.0-py3-none-any.whl
- Upload date:
- Size: 3.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2507475d8d99c173589271673c834c7d5801ffc2730ec8c26393b8b25b7d8c04
|
|
| MD5 |
76fb5312bb257862642ca8f2beb959a4
|
|
| BLAKE2b-256 |
6ad7938e1ef3c0d1eea73104f7f820bbff307859646f937776eb7d11af80d279
|
