OCR system

Good day. I am ready to complete this project as I have extensive experience in app development.

Show original

Translate

Hello! I will implement it using Google Vision API or Tesseract + a custom model for handwriting: recognition of indexes and addresses on envelopes + stamp detection through YOLO with counting the quantity and denomination, all wrapped in a REST API or Telegram bot depending on how you plan to submit the photos as input. 5 days, 10,000 UAH, start after receiving a test sample of envelopes and stamps for model calibration.
I hope for cooperation!

Show original

Translate

Hello!

I have extensive experience in Python development.
I am ready to complete the assigned task.

I suggest we discuss the details in private messages.

Show original

Translate

Good day! I am ready to implement such a system!! Question: what file format will the index and brand be read from??

Show original

Translate

I will develop an OCR system in Python. For text recognition, I will use EasyOCR or Pytesseract, and for labels, I will use OpenCV for area detection + OCR for counting quantity and denomination. Handwritten text is also supported through EasyOCR.

Show original

Translate

Good day, I would be happy to do it. Please write to me privately to discuss the details further.

Show original

Translate

Hello. I specialize in Python development and have practical experience in computer vision projects, automation, and OCR data reading. I will implement a reliable envelope recognition system for you.

Optimal stack for the task:

- OpenCV: frame alignment, contrast, and image preprocessing.
- YOLOv8 / YOLOv11: accurate detection of the index area and finding all stamps on the envelope.
- EasyOCR / PyTorch: recognition of index numbers (even handwritten).
- Template-based classification: to determine the value of stamps (this will bypass the issue of postal stamps that usually interfere with direct text reading).

… To accurately assess the scope of work (cost and development time), I need to familiarize myself with the quality of the input data. Please send 10-15 examples of real photos or scans of envelopes that the algorithm will work with in private messages.

Show original

Translate

Hello! Ready to collaborate! I offer quality and fast work. Write to me.

Show original

Translate

We have a practically ready similar solution for text and object recognition, we can quickly adapt it for envelopes and launch the first working phase, I am available here (:
The estimated cost for the first phase is 65,000 UAH and 21 days for a prototype with index recognition, recipient, number of stamps, and denomination.
There is a nuance - for handwritten text, it is important to see 20-50 real photos or scans, as quality and angle significantly affect accuracy.
Are there examples with the correct answers for the index, recipient, number of stamps, and denomination?
Do we only need to output the result in a table, or is an admin panel or integration with your system required?
A similar class of task example - https://business.ingello.com/vorfahr - automation with applied logic and artificial intelligence.
Another close example - https://business.ingello.com/fractal - complex process automation with artificial intelligence.
About us and the work format on the marketplace - https://systems-fl.ingello.com/ua

Show original

Translate

Hello. I can do it using free libraries or with paid ones. Write to discuss.

Show original

Translate

Hello. For the development of a text and stamp recognition system on postal envelopes, I plan to use a combination of advanced deep neural network architectures. The recognition of postal codes, including handwritten text, will be implemented using adapted models based on Convolutional Recurrent Neural Networks (CRNN) or Transformer-based models, which will ensure high accuracy and robustness to writing variability. Detection and classification of stamps by denomination will be performed using object detectors optimized for speed and reliability. I have successful experience in developing and implementing similar computer vision systems, as well as ready modules to accelerate the implementation of key components. I suggest discussing all implementation details, final budget, and timelines in private messages.

Show original

Translate