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This project aims to develop a custom Frappe application that automates the conversion of PDF purchase orders into Sales Orders in ERPNext. The system will eliminate manual data entry, reduce processing time, and minimize errors by automatically extracting customer information, item details, quantities, and pricing from uploaded PDF documents and creating validated Sales Orders. Reduce sales order processing time by 70-80% Eliminate manual data entry errors Enable faster order fulfillment and improved customer satisfaction Process multiple PDF formats from different customers Maintain accurate audit trails for all automated transactions Project Scope In Scope Custom Frappe app development for PDF processing PDF text extraction and OCR capabilities for scanned documents Data validation and verification workflows Automated Sales Order creation with field mapping User interface for PDF upload, preview, and manual corrections Error handling and logging mechanisms Support for multiple PDF templates and layouts Integration with existing ERPNext Customer and Item masters Out of Scope Modifications to core ERPNext Sales Order functionality Integration with external email systems for automatic PDF retrieval Invoice processing or other document types Customer portal development Mobile application development Technical Requirements System Components 1. PDF Upload Module DocType to manage PDF file uploads File validation and storage Batch processing capability Status tracking (Uploaded, Processing, Completed, Failed) 2. PDF Parser Engine PyMuPDF for native PDF text extraction Tesseract OCR for scanned documents pdfplumber for table extraction Custom parsing logic for different PDF templates 3. Data Extraction Layer Extract customer information (name, address, contact) Parse item details (code, description, quantity, unit price) Identify dates (order date, delivery date, PO number) Extract tax and discount information Calculate totals and validate against PDF values 4. Validation Engine Verify customer exists or flag for creation Validate item codes against Item master Check pricing against Price Lists Verify tax rates and applicability Flag discrepancies for manual review 5. Mapping Configuration Configurable field mapping interface Support for customer-specific PDF templates Default mapping rules with override capability Regular expression patterns for data extraction 6. Sales Order Creation Module Automated Sales Order generation Pre-population of all required fields Tax calculation and application Workflow submission based on approval rules 7. User Interface Dashboard showing processing statistics PDF upload interface with drag-and-drop Extracted data preview and editing screen Error resolution interface Bulk processing queue management Field Mapping Specifications Customer Information Mapping PDF Field Sales Order Field Validation Bill To Name customer Must exist in Customer master Ship To Address shipping_address_name Create if not exists Customer PO Number po_no Alphanumeric validation Order Date transaction_date Date format validation Delivery Date delivery_date Must be future date Item Details Mapping PDF Field Sales Order Field Validation Item Code/SKU item_code Must exist in Item master Description item_name Auto-populate from Item Quantity qty Numeric, greater than 0 Unit Price rate Numeric, validate against Price List Discount % discount_percentage 0-100 range Tax Code item_tax_template Validate tax template exists Document Level Mapping PDF Field Sales Order Field Validation Total Amount grand_total Calculate and compare Tax Amount total_taxes_and_charges Calculate from items Currency currency ISO currency code Payment Terms payment_terms_template Validate template exists Technical Stack Backend Frappe Framework (Python) PyMuPDF (fitz) for PDF parsing Tesseract OCR for image-based PDFs pdfplumber for structured data extraction Regular expressions for pattern matching Frontend Frappe's built-in UI components Custom JavaScript for interactive features Vue.js for complex UI elements Database MariaDB (Frappe default) Custom DocTypes for app-specific data Success Metrics Performance Metrics PDF processing time: < 30 seconds per document Data extraction accuracy: > 95% Successful Sales Order creation rate: > 90% System uptime: 99.5% Business Metrics Reduction in order processing time: 70%+ Error rate reduction: 80%+ User adoption rate: 90% within 3 months ROI achievement within 6 months Risk Management Technical Risks Risk: Varying PDF formats may not parse correctly Mitigation: Build template library and regex pattern configuration; implement manual override capability Risk: OCR accuracy issues with poor quality scans Mitigation: Implement confidence scoring; flag low-confidence extractions for manual review Risk: Performance degradation with large PDFs Mitigation: Implement background job processing; add file size limits and optimization Business Risks Risk: User resistance to automated system Mitigation: Provide comprehensive training; implement gradual rollout with pilot users Risk: Integration issues with custom ERPNext modifications Mitigation: Conduct thorough environment analysis pre-development; maintain staging environment Infrastructure Development and staging servers OCR processing resources PDF storage allocation Third-Party Services Tesseract OCR (open source) Python libraries (open source) Cloud storage for PDF files Post-Implementation Support Training Administrator training (2 sessions) End-user training materials Video tutorials and documentation Maintenance 90-day warranty period for bug fixes Monthly maintenance and updates Feature enhancement roadmap 24/7 critical issue support Assumptions ERPNext instance is properly configured with Customer and Item masters PDF documents follow relatively consistent formats per customer Users have basic ERPNext knowledge Network connectivity and server resources are adequate Frappe framework version compatibility is maintained Next Steps Project Kickoff Meeting: Review requirements and finalize scope Environment Setup: Prepare development, staging, and production environments PDF Sample Collection: Gather representative PDF samples from all customers Technical Design Review: Finalize architecture and integration approach Development Sprint Planning: Break down deliverables into 2-week sprints Prepared using Claude Sonnet 4.5 Related How to implement PDF parsing in Frappe custom app Sample code for extracting Sales Order data from PDF ERPNext Sales Order fields to map from PDF Best OCR libraries for PDF invoice extraction in Python Testing checklist for PDF to Sales Order feature
Project ID: 40194482
13 proposals
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Active 15 days ago
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13 freelancers are bidding on average ₹11,723 INR for this job

I am Sumit Joshi from Sacesta Technologies. Architecture Overview App Structure • Custom Frappe app with modular services: upload, parse, validate, map, create • Background processing using Frappe enqueue for non-blocking performance • Dedicated DocTypes for PDF Upload, Extraction Result, Mapping Template, and Processing Log Processing Flow • Upload → Store File → Queue Background Job • Detect PDF type: native text or scanned • PyMuPDF for text PDFs • Tesseract OCR for scanned with confidence scoring • pdfplumber for table extraction • Regex and template-based parsing engine Template-Based Extraction • Customer-specific template config DocType • Field mapping UI with regex patterns • Confidence scoring per field • Low-confidence flags for manual review Validation Layer • Customer match or create flag • Item master verification • Price list validation • Tax template verification • Total reconciliation against extracted values Sales Order Automation • Pre-populated Sales Order draft • Workflow submission based on role • Complete audit log linking PDF → Extraction → SO Performance Strategy • Async background workers • File size limits • OCR only when required • Caching of mapping templates Success Alignment • <30s per document achievable with async queue • >95% accuracy via template library + validation • >90% auto-create rate with discrepancy review Regards, Sumit Joshi
₹7,000 INR in 7 days
5.6
5.6

Hi, I’ve reviewed your project and I’m confident I can deliver exactly what you need with high quality and on-time results. I focus on clean execution, smart problem-solving, and clear communication from start to finish. Let’s discuss the details and get started. Abdul Rehman
₹7,000 INR in 12 days
1.5
1.5

I am the perfect fit for your project. I’ve reviewed your requirements and I can deliver a custom Frappe solution that automates PDF to Sales Order conversions flawlessly. By eliminating manual errors, reducing processing time by 70-80%, and ensuring accurate data extraction, your business will benefit from improved efficiency and customer satisfaction. My focus: • Robust PDF processing engine • Comprehensive validation workflows • Intuitive user interface for error handling and correction Let’s kick start this project together and achieve seamless automation for your ERPNext system. Best regards, Eli Tanenbaum
₹9,400 INR in 14 days
0.0
0.0

Intrested this, pdf extraction is very challenge, more likely right technolgy will be extract. Discussion, i would like to see e2e manual flow.
₹10,000 INR in 7 days
0.0
0.0

As an experienced developer in the area of AI-Powered Web Apps and Automated Workflows, I am your ideal candidate for this project. My technical skills align perfectly with the requirements, not just in terms of software that you need but also dealing with quantities of data. With PDF processing being a significant feature of my current work stack, I am well-versed in the utilization and customization of frappe applications as needs arise.
₹7,000 INR in 7 days
0.0
0.0

Hi, I’ve gone through your detailed scope for the PDF-to-Sales-Order automation. It’s a classic challenge in ERPNext—balancing the speed of automation with the accuracy of the Item and Customer masters. I can build this as a standalone Custom Frappe App to keep your core ERPNext site clean. My approach focuses on three main things: Reliable Extraction: I prefer using pdfplumber for structured tables and Tesseract for those tricky scanned POs. I’ll set up a template-based mapping system so you can easily add new customer PDF formats without needing to rewrite code every time. The "Safety Net": Automation is great until it fails. I’ll implement a "Validation UI" where any discrepancy—like a price mismatch or an unrecognized SKU—is flagged for a human to review before the Sales Order is actually submitted. Performance: Since you're looking for sub-30-second processing, I’ll handle the heavy lifting (OCR and parsing) via Frappe Background Jobs (RQ) to ensure the user interface stays snappy and doesn't time out. I’m quite familiar with the Frappe backend and building custom DocTypes with complex JS triggers. I’m also a big fan of the "Quality over Speed" mindset you mentioned, especially when it comes to financial transactions like Sales Orders. I’d love to see a couple of your sample POs to see how complex the tables are. Once I see those, I can give you a better idea of the regex patterns we’ll need. Best regards, Rudrik Patel
₹8,500 INR in 10 days
0.0
0.0

Hello, This is a high-impact automation project and I’d love to build your PDF → Sales Order system in ERPNext using a custom Frappe app. I have strong experience with Python, Frappe/ERPNext, OCR, and document automation. I’ve worked on systems where accuracy, validation, and audit trails are critical. Approach: • Custom Frappe app with DocTypes for PDF upload, status, and logs • PyMuPDF + pdfplumber for native PDFs & table extraction • Tesseract OCR for scanned/image PDFs • Regex + template-based parsing per customer • Validation engine against Customer, Item, Price List & Tax masters • Configurable field mapping UI • Automated Sales Order creation with workflow rules • Preview + manual correction screen • Background jobs for batch processing Deliverables: ✔ Production-ready app ✔ Documented code + README ✔ Demo of end-to-end flow Timeline: ~3–4 weeks for MVP + multi-template support. I focus on clean architecture, fast processing, and >95% extraction accuracy with manual fallback. Happy to review sample PDFs and start immediately. Best, Nikhil Sahu
₹9,000 INR in 7 days
0.0
0.0

Hello, I understand your requirement to automate Sales Order creation from PDF files in ERPNext. Considering the mentioned budget, I propose a Phase-1 / MVP solution that focuses on core automation with accuracy. What I will deliver (within budget): • Upload text-based PDF sales orders • Extract customer, item, quantity, and price data • Map data with ERPNext Customer & Item Master • Automatically create Draft Sales Orders • Manual review/edit before final submission • Basic error handling & logs Tech Stack: • Python + Frappe Framework • ERPNext APIs • PDF text extraction (no AI guessing) ? Note: OCR for scanned PDFs, multiple complex layouts, and AI-based mapping can be added later as Phase-2 enhancements. I can deliver this MVP in 7 days and help you scale it further if needed. Looking forward to discussing sample PDFs. Best regards, Abhishek Dutta
₹12,000 INR in 7 days
0.0
0.0

Hello, I would love to help you design a clean, professional, and modern business website that builds trust and clearly communicates your brand message. I understand the importance of aligning the design with your existing logo while maintaining consistent branding across all pages. I will create a responsive layout (desktop + mobile), carefully select typography and color palettes that complement your brand, and design intuitive page structures that guide users smoothly toward contact or conversion. All final design assets will be delivered in organized, fully editable files (Figma preferred), ready for development handoff. I focus on clean UI, strong visual hierarchy, and user-friendly experiences. I can deliver this within 7 days and ensure revisions until you are satisfied. Looking forward to collaborating with you.
₹7,000 INR in 7 days
0.0
0.0

Hi, I'm Rahul Sarkar, a Full-Stack Developer specializing in Frappe/ERPNext custom app development. This project aligns perfectly with my expertise. I will deliver: Custom Frappe app for PDF to Sales Order automation PDF parsing with PyMuPDF + Tesseract OCR Configurable template mapping for different customer formats Validation engine (Customer, Item, Price List checks) Dashboard with upload, preview, and error resolution UI Background job processing for large files Comprehensive error logging and audit trail Tech Stack: Python, Frappe Framework, ERPNext, PyMuPDF, pdfplumber, Tesseract OCR, MariaDB, JavaScript My Approach (45 days): Week 1: PDF parser engine + OCR setup Week 2-3: Data extraction + template mapping Week 4-5: Sales Order creation + validation Week 6: UI, dashboard, testing & documentation I have hands-on experience building Frappe apps with complex workflows. Happy to discuss requirements in detail. Best, Rahul Sarkar
₹59,999 INR in 45 days
0.0
0.0

As a seasoned Data Scientist well-versed in Python programming, I am best suited for this specific project. My solid understanding of Frappe Framework and extensive knowledge in Python libraries such as PyMuPDF and Tesseract OCR align perfectly with the technological requirements of your project. Additionally, I have honed my skills in data extraction and verification, tasks integral to this project's success - ensuring that there are no manual errors in the sales order process. With my deep appreciation for Natural Language Processing (NLP) implemented in fields like Sentiment Analytics, Speech Recognition, and Neural Machine Translation, I can bring valuable insights into automating data extraction from multiple PDF formats from different customers. Moreover, having worked on databases like SQL, PostgreSQL, and Oracle,I possess a strong understanding of how to integrate the developed custom Frappe application seamlessly with existing ERPNext Customer and Item masters, ensuring hassle-free operations. Let's equipe your business with an efficient system that ensures better customer satisfaction and accelerates order fulfillment.
₹7,000 INR in 7 days
0.0
0.0

Delhi, India
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