Receipt Points Telegram Bot

@n2rtechnologies

Hi, You're building a points system where users snap receipts and earn rewards via Telegram. Quick question: are you handling OCR extraction yourself, or do you need us to integrate a third-party service for accuracy? We've built similar loyalty bots and know the image-to-data pipeline matters. Message me to discuss the tech stack. Best Regards, Hasan

@extreamcode

Hi [ClientFirstName], I’ve read your Receipt Points Telegram Bot brief and I’m confident I can deliver a clean MVP in Node.js that flows exactly as you described. I’m Asad, and I sense your goal: a reliable, JSON-first, switchable data layer with a simple OCR pipeline via Google Vision, plus a friendly first-use experience on Telegram. I’ll build a small, well-structured Telegraf-based bot that greets on any message, accepts receipt photos, downloads to local storage, calls Google Vision OCR to extract the total, converts that to points (equal to the amount for now), and saves every interaction in a local JSON file. Deliverables will include well-commented code you can drop a token into, a README with a setup for Vision credentials and env vars, sample JSON output, and robust error handling for unsupported types, unreadable receipts, Vision failures, and duplicate uploads. I’ll also provide a Dockerfile option and local launch steps. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. What is your preferred structure for the local JSON schema (fields and naming) to ensure seamless future migration to a database, and do you want per-user point history retained in separate files or a single ledger file? Best regards, Asad

@SBITServices

Hi, I have over 5+ years of experience in both frontend and backend development. I will do the specified tasks. Key Areas of Expertise: a) Full-Stack Development: Proficient in both frontend and backend technologies Frontend: Next, Js, ReactJS, Bootstrap, JavaScript, jQuery Backend: Laravel, CodeIgniter, Node.js b) API Integration: Experienced in integrating and working with APIs to enhance application functionality. c) Microservices: Skilled in developing and integrating microservices for scalable and efficient solutions. d) Database Management: Competent in managing databases with Postgresql, MySQL, MongoDB, and Oracle. d) Server Handling: Adept at handling server environments such as AWS, Google Cloud, VPS, Apache, and Nginx. Let’s discuss how I can help achieve your project goals and add value. Lets connect in chat so that We discuss further. With Regards, Sai

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Telegram Loyalty Bot for Earning Points from Receipts ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a Telegram loyalty bot. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for bot development. I will create a simple, efficient bot in Node.js that processes receipt photos and converts amounts into points. This will include using the Google Vision API for OCR and storing data in JSON files. ➡️ Why Me? I can easily create your Telegram loyalty bot as I have 5 years of experience in Node.js and bot development. My expertise includes API integration, error handling, and data management. I also have a strong grip on other relevant technologies like Google Vision API and JSON file handling, ensuring a smooth and effective solution. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Node.js Development ✅ Telegram Bot Development ✅ API Integration ✅ Google Vision API ✅ JSON File Management ✅ Error Handling ✅ Local Storage Management ✅ User Interaction Design ✅ Code Optimization ✅ README Documentation ✅ Dockerfile Creation ✅ Sample Data Generation Waiting for your response! Best Regards, Zohaib

@DeveloperStation

Hi, We’ve developed several Telegram bots, including one that uses Google Vision API for OCR. We also built a product that converts receipts into expenses, so we’re familiar with the nuances of extracting accurate data from images. For your project, we can use a library like Telegraf to create a bot that handles multiple types of messages, including images. We’ll implement a robust solution that can handle different scenarios, such as unreadable images or incorrect file types, and respond appropriately. We can also set up a dedicated server for the bot, or you can run it locally using a simple command like ‘npm start’—it’s entirely up to you. Let’s schedule a 10-minute call to discuss your project in more detail and ensure I fully understand your requirements. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@blackrockwise

Hi there, I like how you have outlined your project description with clear deliverables and focus on a smooth user experience. You want to build a Telegram loyalty bot in Node.js that rewards points for receipt photos processed via Google Vision API. The MVP will handle greeting users, OCR processing of receipt images to extract totals, converting totals to points, and storing data in JSON files with robust error handling. All this while keeping the code clean and easy to configure. I have extensive experience developing Telegram bots using Node.js and integrating Google Vision API for OCR tasks. I prioritize writing well-commented, modular code and delivering thorough documentation, including setup and environment configuration instructions. I am confident I can deliver your MVP within a week, ensuring reliable receipt processing, intuitive user interactions, and complete JSON logging that you can seamlessly transition to a database later. I appreciate your emphasis on graceful error handling and can provide sample JSON outputs and simple instructions for local deployment or Docker setup. I’m happy to share previous Telegram bot projects or provide a quick proof-of-concept GIF as you requested. Let's discuss your timeline and any additional features you'd like to consider. I look forward to helping you bring this loyalty bot to life smoothly and efficiently.

@arbu1499

Hi there! I can build your Node.js Telegram bot MVP using Telegraf with a clean, well-structured flow—from greeting users to processing receipt images via Google Vision API and converting totals into points stored in JSON. I’ll ensure robust error handling (invalid files, OCR issues, duplicates) and keep the code modular so it’s easy to scale to a database later. You’ll receive fully commented code, setup instructions (including Vision credentials), sample JSON output, and a quick demo showing the bot working end-to-end. I can deliver a working version within a few days. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@johnallenvillan1

Hello, I noticed your MVP focuses on a single, clean happy‑path for receipt processing using Node.js, Google Vision, and simple JSON storage, which is a sensible foundation for a loyalty workflow. I’ve built Telegram bots with Telegraf and integrated Google Vision for structured receipt extraction before, delivering consistent totals detection and JSON‑based audit logs for later database migration. The real challenge here is ensuring OCR reliability and protecting the flow from edge‑case failures, Vision API often returns multiple text blocks, and a junior developer might pick the wrong field. Handling duplicate uploads within a time window also needs a clear state strategy so users don’t unintentionally earn double points. I’ll structure the bot with a clean message router, implement strict MIME checks, parse Vision results by prioritizing numeric patterns near total keywords, and keep all user interactions and records in timestamped JSON files. I’ll also include a setup helper for credentials and an optional Dockerfile. To confirm implementation details, is your preference Telegraf, or are you open to a lighter wrapper? Thanks, John allen.

@juanestebana17

Hello, I bring extensive experience in developing Telegram bots and integrating OCR functionalities with a focus on Node.js, ensuring seamless user interactions and reliable data processing. I will create a straightforward MVP that captures receipt images, extracts the total using Google Vision API, and logs the details in JSON format for easy future database migration. What specific user flow or features would you like prioritized for the MVP beyond what's outlined? Best regards, Juan Aponte

@DigitalNightOwl8

Hello Mate!Greetings , Good evening! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in JavaScript, API Development, Node.js, Software Architecture, Data Processing, Image Processing, JSON, PHP, OCR and Docker. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Many thanks

@engruhulajom

Hello dear, I’m a full-stack developer with 10+ years of experience, including building Telegram bots and integrating Google Vision API for OCR-based automation. I understand you need a clean MVP bot in Node.js that processes receipt images, extracts totals, converts them into points, and stores structured data in JSON. I have built similar bots using Telegraf, handling image downloads, OCR parsing, and reliable data storage with proper error handling. I will ensure accurate amount extraction, duplicate detection, and smooth user responses. The code will be well-structured, documented, and easy to extend to a database later. I’ll also provide a clear setup guide, sample JSON, and optional Docker support. Ready to deliver a working MVP quickly. Best regards, Md Ruhul

@billybryan98

Hello, I hope you’re doing well. I’m an independent developer who crafts practical, maintainable Node.js solutions. I’ve built Telegram bots and OCR-powered utilities, and I bring a lean, MVP-first approach that keeps data in simple JSON so you can swap to a database later without refactoring the core logic. For this receipt points bot, I’ll implement a clean MVP in Node.js using Telegraf. The flow will greet users on any message, accept receipt photos, store the image locally, send it to Google Vision OCR to extract the total, convert that to points, and persist all data in a local JSON file. I’ll provide a small README section detailing environment variable setup for Google Vision credentials, plus a ready-to-run script that you can drop a token into. I’ll also include error handling for unsupported files, unreadable images, Vision API errors, and duplicate uploads within a short window, all while returning friendly messages to users. I can deliver a ready-to-run project with example JSON output showing a sample receipt entry (userId, imagePath, amount, points, timestamp), plus a basic Dockerfile and launch instructions. I’ll also supply a quick proof-of-concept GIF or short video to demonstrate the flow working end-to-end. Next steps: I can start immediately and deliver a working MVP in under 5 days, with a sample JSON payload on completion. . Best regards, Billy Bryan

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in Data Processing, JSON, PHP, Software Architecture, API Development, Node.js, Image Processing, OCR, JavaScript and Docker. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer

@syedraza21295

Hello, I have extensive experience in developing Telegram bots and integrating with APIs, which aligns perfectly with your project requirements for the Receipt Points Telegram Bot. I have carefully reviewed the project description and understand the goals of creating an MVP in Node.js that focuses on processing receipt images using the Google Vision API. To achieve the project milestones, I propose the following step-by-step approach: 1. Implement a greeting message and rules explanation upon user interaction. 2. Develop functionality to download receipt images, extract total amount using Google Vision API, convert to points, and store data in a local JSON file. 3. Ensure error handling for unsupported file types, Vision API failures, and duplicate uploads. 4. Provide clean, well-commented Node.js code using Telegraf, setup instructions for Google Vision credentials, and a sample JSON output for successful receipt entries. I specialize in Node.js development and API integrations, and I am confident in delivering a high-quality solution. I will work closely with you to ensure 100% satisfaction with the final result. Let's discuss the project further in chat. Best regards, Syed

@Hrolgar

I've built Telegram bots with exactly this stack — Node.js + Telegraf, Google Vision OCR, and JSON-based storage that's easy to swap for a DB later. One of my recent projects was a trading signal bot that parses incoming messages and takes automated action, so the receive-photo → process → respond flow is familiar territory. For this I'd wire up the image download, pipe it through Vision API's text detection, regex out the total, and persist everything in clean JSON records keyed by user ID. Error handling for bad images, unreadable receipts, and duplicate submissions within a cooldown window are all included. Happy to do a quick screen-share walkthrough once the MVP is running so you can see the flow end to end. I can start immediately — you'd have a working bot within a few days.

@stadnichuk

Hey there The core part here is not the bot reply, it is making the Google Vision API flow stable so the bot can pull the total amount from a receipt and save a clean JSON record without breaking on bad images or duplicate uploads. Do you already have sample receipt formats you want to support first, or should I build the MVP around a simple happy-path parser that looks for the most likely total line after OCR? I can build this in pure Node.js with Telegraf, local image storage, Vision OCR, JSON-based persistence, graceful error handling, and a clear README for token and credential setup. I can also include sample JSON output, launch steps, and an optional Dockerfile so you can test it fast. Regards, Kostiantyn

@ffulb

Your Telegram receipt bot needs Node.js with Telegraf, Google Vision OCR integration, and JSON storage for easy database migration later. I'll build the happy-path flow you described with proper error handling for bad images, API failures, and duplicate uploads. I built a Telegram Operations Bot that handles system monitoring and remote control via bot commands, plus I've integrated various APIs for automated data processing across multiple projects at ffulb.com. The OCR-to-points conversion and JSON structure you want is straightforward. Need your Telegram Bot API token and Google Vision credentials to get the integration working properly. Can start immediately once I take a quick look at your setup.

@zarminagull189

Receipt Points Telegram Bot Good evening I can help you with reliable Web Scraping and Data Extraction to turn complex websites into clean, structured, and usable data. I specialize in scraping dynamic websites with JavaScript rendering, XHR requests, and API reverse engineering using network inspection techniques. This allows me to handle pagination, infinite scroll, and protected data sources efficiently. I have strong experience with business leads extraction, including Google Maps scraping, and accurate parsing of emails and phone numbers. Beyond extraction, I focus on data quality through data cleaning, deduplication, validation, and structured formatting. I can deliver data in CSV, Excel, or database formats and set up automation pipelines for scheduled scraping and recurring data collection. My workflows include proper rate limiting, proxy integration, scraper optimization, and robust error handling to ensure stability and scalability. I also work with strong awareness of scraping ethics and platform policies while applying smart bot evasion techniques where appropriate to improve success rates. My goal is to provide you with a fast, maintainable, and high-quality scraping solution that saves time and supports better business decisions. Let’s discuss your target sites, data points, and preferred output format so I can get started quickly. Best regards, Zarmina Gull

@imranhaider2018

Hey , I just went through your job description and noticed you need someone skilled in Image Processing, API Development, PHP, Software Architecture, JavaScript, JSON, Node.js, Docker, Data Processing and OCR. That’s right up my alley. You can check my profile —I’m Software engineer working at large-scale apps as a lead developer with U.S. and European teams. I’ve handled several projects using these exact tools and technologies. Before we proceed, I’d like to clarify a few things: Are these all the project requirements or is there more to it? Do you already have any work done, or will this start from scratch? What’s your preferred deadline for completion? Why Work With Me? 1) Over 230 successful projects completed. 2) I have not received a single bad feedback since the last 5-6 years. 3) You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. 4) Long-term track record of happy clients and repeat work. I prioritize quality, deadlines, and clear communication. Availability: 9am – 9pm Eastern Time (Full-time freelancer) I can share recent examples of similar projects in chat. Let’s connect and discuss your vision in detail. Kind Regards, Imran Haider