You will get OCR convert image/photo to text
Top Rated
Project details
Development of a robust OCR pipeline designed to handle real-world images, including scanned documents, smartphone photos, low contrast text, distortions, and non-standard fonts.
Input:
Photos / scans (RGB, uneven lighting)
Documents with noise, blur, perspective distortion
Mixed languages / symbols
Output:
Structured, machine-readable text (JSON / TXT / CSV)
Character- and word-level confidence scores
Optional bounding boxes for layout analysis
Technologies:
Deep Learning (PyTorch / TensorFlow)
Text detection: YOLO
Text recognition: CRNN / Transformer OCR / TesseractOCR / GoogleVision OCR
Image preprocessing (OpenCV: denoise, adaptive thresholding)
Post-processing using statistical language models & regex normalization
Input:
Photos / scans (RGB, uneven lighting)
Documents with noise, blur, perspective distortion
Mixed languages / symbols
Output:
Structured, machine-readable text (JSON / TXT / CSV)
Character- and word-level confidence scores
Optional bounding boxes for layout analysis
Technologies:
Deep Learning (PyTorch / TensorFlow)
Text detection: YOLO
Text recognition: CRNN / Transformer OCR / TesseractOCR / GoogleVision OCR
Image preprocessing (OpenCV: denoise, adaptive thresholding)
Post-processing using statistical language models & regex normalization
Machine Learning Tools
NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Tesseract OCR, TheanoWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$5,000
|
Advanced
$15,000
|
|---|---|---|---|
| Delivery Time | 5 days | 30 days | 70 days |
Number of Revisions | 0 | 2 | 9 |
Number of Model Variations | 1 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$300
Additional Model Variation
(+ 2 Days)
+$500
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BL
Brian L.
Feb 4, 2026
Computer Vision Expert Needed for Model Tuning
Eugene is an excellent developer who always goes above and beyond with his ideas and solutions to problems. A great engineering mind that delivers on his promises.
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Nov 22, 2024
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great work
About Eugene
Computer Vision | Deep Learning | OCR | Data Science | LLM
100%
Job Success
Kyiv, Ukraine - 5:23 am local time
I don’t just write code — I design vision systems that actually work in production, from image recognition and tracking to real-time video analytics and deep learning pipelines.
Over the past 𝟏𝟑 𝐲𝐞𝐚𝐫𝐬, I’ve built and delivered AI solutions for 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐟𝐚𝐬𝐡𝐢𝐨𝐧 & 𝐛𝐞𝐚𝐮𝐭𝐲 platforms, 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬, 𝐚𝐠𝐫𝐢𝐭𝐞𝐜𝐡 companies using drone imagery, 𝐬𝐩𝐨𝐫𝐭𝐬 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 (human pose tracking), and digital rights protection systems with invisible watermarks.
I’ve been working in 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 and 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 for over a decade, including experience at 𝐒𝐚𝐦𝐬𝐮𝐧𝐠 𝐑&𝐃 and numerous freelance projects.
Tech stack: PyTorch, TensorFlow, YOLO, GANs, Stable Diffusion 2.0, Fast.ai, OpenCV, C++, Python, CUDA, OCR, LLM, Git, code profiling and 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 optimization, 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 evaluation.
Other:
Strong background in algorithms and a passion for 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬.
Education: Moscow Institute of Physics and Technology.
Performance + Accuracy = Computer Vision that scales your business. ✅ 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱!
Keywords:
Computer Vision, Deep Learning, OCR, Data Science, LLM, Artificial intelligence, machine learning, object detection, object tracking, instance segmentation, semantic segmentation, image stitching, super resolution, image processing, morphology, OpenCV, TensorFlow, TensorFlow-light, PyTorch, Python, C++, YOLO, StyleGAN, GAN, Performance Optimization, speedup, Tesseract OCR, OCR, Google Cloud Vision API, ChatGPT API, GPT, Google Cloud Platform, Stable Diffusion, SD, 3D, Point Cloud, camera calibration, stereo vision, SLAM, math, algorithms, Clustering, OPTICS, DBSCAN, Kalman filter, accuracy evaluation, data annotation, data labelling, SIMD, ARM-NEON, DSP, GPU, Git, Valgrind, cMake.
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After purchasing the project, send requirements so Eugene can start the project.
Delivery time starts when Eugene receives requirements from you.
Eugene works on your project following the steps below.
Revisions may occur after the delivery date.
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Dataset
With or without client. prepare and preprocess dataset