ZIKIT
Technical Assignment (TA): Smart OCR Module
Goal: Automate the input of expense data (Amount, Date, Category) based on a photo of the receipt taken by the user
Stage 1: Image Capture Optimization (Frontend — Camera)
Stage 2: Data Processing and Recognition (Backend — Server)
and now in the client's language
We are already finishing the software, but there is no receipt recognition; we need to create a technical assignment. So - a person (user) takes a photo of the receipt, and we need to:
1. Help him take a photo of the receipt - there should be some frame or something similar on the phone, and when properly focused and sharp, this frame should turn green, and he can take the photo.
2. Assess the quality of the photo and inform him - whether we are satisfied with the quality or not.
3. We need to recognize the total amount and date in the photo (Hebrew - we will help as much as we can).
4. We need to determine which category of expenses this specific expense belongs to (there will be a few, no more than 5-7, so they will be grouped - e.g., food, clothing, transport, utilities, leisure, children, and ????).
5. We need to distribute this information across the corresponding fields of the program.
6. We need to ask the user to check and confirm or change the data we recognized.
This is the entire task in the first approximation.
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10 days1000 USD10 days1000 USD
Hello!
I am ready to take on the task quickly and efficiently. I am always available and will promptly consider all requests.
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7 days700 USD
2382 8 0 7 days700 USDHello, there is a similar bot for Telegram that recognizes purchase receipts (any), categorizes them into predefined categories + according to its own understanding. Google OCR + Gemini AI. Accuracy 99.99%. Recognition speed up to 2 seconds. I can show an example. We need to discuss the details of the project, what has already been done.
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4 days1500 USD
276 4 days1500 USDSmart OCR Module — Business Proposal
My name is Christopher Bruce, founder of ActuarialOS, a financial analytics and software engineering company focusing precisely on this kind of challenge. I propose an architecture f your OCR System as a proposal.
We propose a Smart OCR Module to automate the input of expense data from receipt photos, delivering a seamless, production-ready, and scalable solution. At its core, the system is dataset-driven, extracting a canonical structure per receipt: {Amount, Date, Category} + metadata + user validation. This dataset is the backbone of all operations.
The module includes:
… Capture & Guidance UI: Real-time camera feed with overlay frame; frame turns green when the receipt is aligned, focused, and well-lit; guides users to capture high-quality images.
Quality Assessment Engine: Evaluates blur, skew, and lighting; provides feedback to ensure only usable images proceed.
OCR & Field Extraction Engine: Recognizes amount, date (including Hebrew formatting), and optional metadata; outputs structured data with per-field confidence scores.
Category Classification: Assigns each expense to predefined categories (Food, Transport, Clothing, Leisure, Utilities, Children, Other) with confidence scoring.
User Validation Layer: Populates recognized fields for review and correction; updates the canonical dataset with validated values.
Integration Layer: Secure APIs connect frontend, backend, and main system; supports scalability, batch processing, and analytics pipelines.
The system is modular and extensible: new categories, layouts, languages, or metadata can be added without altering the core engine. Confidence scores, error logging, and user validation ensure high accuracy, while structured outputs integrate seamlessly into financial analytics, accounting, or reporting systems.
Deliverables: fully implemented Smart OCR engine, frontend capture and validation interface, backend recognition and classification, structured dataset outputs, and integration-ready API. The solution is scalable, robust, and user-centric, turning every receipt photo into actionable, validated expense data.
I can deliver this rapidly, in 7 four days. I have the expertise and the streamlined workflows to accomomdate.
Sincerely, Christopher
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2 days700 USD
9392 20 0 1 2 days700 USDGood day, I will write Smart OCR for you. I have experience in writing OCR for bank statements, everything works quickly and accurately with the integration of Azure OCR + OpenAI GPT-4 in the client's startup. Please contact me, we will discuss the details. I will be happy to collaborate.
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12 days10 000 USD
12862 4 2 12 days10 000 USDHi,
I can build the Smart OCR module to capture receipt photos, check quality, and extract amount, date, and category.
I have experience integrating recognition systems and validating data with user-friendly UI/UX.
I can ensure the extracted data is correctly populated and allow users to confirm or edit it.
I am confident in delivering a reliable and accurate solution for your platform.
Best regards,
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2 days400 USD
184 1 1 2 days400 USDHello! I am ready to complete this project and have extensive experience in developing various applications.
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7 days800 USD
224 7 days800 USDHello!
We will create the Smart OCR module for $800 within 7 days.
We already have experience in developing systems with image recognition, browser automation, and security solutions. We implement a full cycle:
— optimization of image capture with framing and autofocus (green indication of photo quality),
— assessment of photo quality and user notification,
— recognition of the amount and date on the receipt (including support for Hebrew),
— automatic classification by expense categories (food, transport, utilities, etc.),
— filling in the relevant fields and user verification.
…
We will provide a user-friendly UI/UX and a stable server side with expansion for future features.
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London