Automated Invoice Processing with OCR & ML -- 2
₹12500-37500 INR
Betalt ved levering
Project Description
We are looking for an experienced freelancer or team to help us streamline our accounts payable process by developing an automated solution for invoice data extraction and ERP integration. By leveraging OCR and Machine Learning, we aim to reduce manual data entry errors, improve efficiency, and create structured outputs for seamless ERP integration.
Objectives
- Scan Supplier Invoices: Develop a system that can accept scanned images or PDFs of supplier invoices.
- Data Extraction: Utilize OCR with Machine Learning to accurately extract key information from the invoices, For example:
- Vendor Name
- Invoice Number
- Invoice Date
- Total Amount
- Line Items (Description, Quantity, Price)
- Tax details
- Other details
- Output Format: Generate structured output files in both CSV and XML formats for easy import into our ERP system.
- Error Handling: Implement validation checks to ensure data accuracy and flag any discrepancies for review.
- User Interface: (Optional) Create a user-friendly interface for uploading invoices and downloading the generated files.
- Support Diverse Formats: Ensure the solution can handle a variety of invoice formats, languages, and, if applicable, handwritten notes.
Requirements
- Proven experience with OCR technology and data extraction, particularly using Machine Learning techniques.
- Familiarity with CSV and XML file formats.
- Ability to integrate with existing ERP systems (please specify which ERP systems you have experience with).
- Experience in handling different invoice formats and handwritten notes.
- Strong attention to detail and commitment to data accuracy.
- Good communication skills for regular updates and feedback.
Indicative Python Libraries
To successfully implement this project, we feel that the knowledge of the following Python libraries is essential:
1. Pytesseract
- A wrapper for Google's Tesseract-OCR Engine, used for text extraction from images.
2. OpenCV
- A library for image processing that will assist in preparing images for OCR, including resizing, filtering, and enhancing image quality.
3. EasyOCR
- An alternative OCR library that utilizes deep learning models for high accuracy in text recognition.
4. Keras-OCR
- A library built on Keras that provides pre-trained models for OCR tasks, especially useful for complex layouts or handwritten text.
5. Pandas
- A powerful data manipulation library that will be used to create and manage the CSV output files.
6. XML Libraries (e.g., lxml or [login to view URL])
- Libraries for generating XML files from extracted data.
7. PDF2Image
- A library to convert PDF documents into images if the invoices are provided in PDF format.
However we encourage the freelancer to suggest other libraries to optimize the costs and timelines. Please feel free to use transformers too. Any suggested library must have permissive licensing policy.
Advantages of Using OCR with Machine Learning (To Be Demonstrated)
- Enhanced accuracy in data extraction through context understanding and pattern recognition.
- Improved adaptability to diverse invoice formats, fonts, languages, and layouts.
- Reduction of lookalike character errors, ensuring higher fidelity in text recognition.
- Robustness against variations in image quality, orientation, and background noise.
We are hiring a Free lancer for one of Intouch Systems Pvt Ltd project. Please find Details to contact me
Siddu Patil
HR Executive
Intouch Systems Pvt Ltd.
6362273204
Projekt ID: #38850871
Om projektet
20 freelancere byder i gennemsnit ₹38995 timen for dette job
Hello, I am an experienced Python developer with extensive experience in OCR technology and data extraction using Machine Learning techniques. I have a strong background in image processing, particularly utilizing lib Flere
Hello, good time Hope you are doing well I'm expert in MATLAB/Simulink, Python, HTML5, CSS3, Java, JavaScript and C/C#/C++ programming and by strong mathematical and statistical background, have good flexibility for s Flere
Greetings, I have read the project description I have been working on a similar project in recent time "OCR" I am interested in the work open a chat to discuss requirements in details.
Hi. Thanks for your posting. I have just read your proposal and I am sure I can complete the project on time. I am an expert in ML/DL who has many years of experiences in OCR using openCV, easyOCR, tesseract, kerasOCR. Flere
Hi, I've read your description carefully. I'm new here but I have full experience with Python, OCR, Object Detection. I've also worked on several similar projects before. So I can complete your project with high quali Flere
Hello! I am a skilled Software Engineer with expertise in automating business processes using technologies like OCR, Machine Learning, and ERP integration. I can assist you in developing an automated solution to strea Flere
I believe my proficiencies match your project's requirements perfectly. A master in Python development, I am well-versed with significant OCR and ML libraries like Pytesseract, EasyOCR, and Keras-OCR; the expertise on Flere
hey siddu will help you in complete process pervioslly also build similar kind of solutions for bussiness could you share best time to discuession over a call
Leveraging my extensive experience in OCR and Machine Learning, I am confident in my ability to develop a cutting-edge solution that will revolutionize your invoice processing. Throughout my career, I've honed my skill Flere
Hey there, I would like to work with you on the project for automating the accounts payable process using OCR and Machine Learning. Based on the project description, I can help design and implement a robust solution fo Flere
Dear Siddu Patil, I am excited to propose my expertise for the development of an automated solution for invoice data extraction and ERP integration at Intouch Systems Pvt Ltd. With my strong academic foundation in Com Flere
I have experience in Data extraction as part of my previous internship and have proven technical experience in machine learning from my internship as well as my academic project.
