Standalone OCR for documents

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

I am a OCR expert with full experience in tesseract, google vision, darknet and opencv. I can make perfect result in short time. Please leave message for further discussion. Looking forward to hear your reply. Best Regard! Binh

Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day

Thanks for your posting I am an image processing expert with full experiences using machine learning such as tensorflow, caffe, DARKNET, OPENALPR, etc and opencv, intel OPENVINO technique. I am very familiar with OCR. I have developed a lot of object detection and recognition projects such as Image(PDF) to txt(docx), MRZ&Barcode&QR*PDF417 recognition, ANPR, Captchar Recognition and etc... with Java, Android, c#, C++, python. Also, I am very familiar with python and C++ Please give me your detail? Looking forward to hear from you soon. Best Regard.

Dear Sir. I am an artificial intelligence expert. Especially, I have very rich experience in the OCR/NLP field. I can use MMOCR/PaddlePaddle OCR/Google API/AWS Textract/Azure/TesseractOCR to read all text with high accuracy from scanned or photographed images. I have done many projects such as bank documents, invoice recognition, various id card recognition, receipt card recognition, and salary card recognition. These projects can convert images/pdfs to sql(ODBC)/xlsx/csv/tsv/docx. So I think I can help you enough. Thank you. Nigel

Hello there! I am a masters level AI engineer with expertise in computer vision and NLP. I developed and deployed 2 OCR modules that too for multiple languages. The accuracy was above 95. Provided the right quality of the data. Please connect so we can discuss accordingly wrt your requirements. Thanking you in anticipation.

Dear sir I have a lot of experiences in ML. I'm an expert in c/c++, python in image processing algorithm using opencv, tensorflow ML such as detection, recognition, OCR... I'm sure i can make a good result for you in a short time, Thanks sir Waiting for your reply..

GOOD IN COMPUTER VISION HELLO DEAR CLIENT I have gone through your project details and the work is DOABLE since its within my area of EXPERTISE.I will tackle are required guideline to deliver desired goal Please consider my bid. THANKS`+`

I can do this project in 7 days as I have some experience in OCR and image processing if you are interested please contact me for more details

Dear Hiring Manager My name is Rakhim. ************************************************************************ ###-I have 7+ years of rich experience in Python, so mastered Python-### &&&-I implemented many ML and DL projects previously and I also have strong expertise in Algorithm and Software Architecture-&&& ************************************************************************ I would love to have the opportunity to discuss your project with you. Please let me know a time that works best for you and I will make sure that I make myself available. Thank for your time and consideration. Best regards,

Hello sir, I am Rajsekhar. I have done already some image processing task, like car number plate detection and recognition for a shopping mall, container plate detection and recognition for an industry, backend of a scanner app, backend of a scanner that can detect mathematical expression and can solve it, intruder detection in a restricted area, collision detection in a busy road, and many more like this. I hope I can help in your project. please, if you find suitable as per your requirement, contact me. Thank you.