Line Item Ai - AI Receipt Itemizer Model
Receipt Itemizer
by Neurometric📄 Document Intelligence
Line-Item-AI is a task-specific model that breaks down a single receipt image into individual line items, quantities, and prices.
Line Item Ai is designed for Document Intelligence workflows where speed, consistency, and control matter more than generic creativity. Instead of relying on a broad model to guess intent each time, this task-specific SLM is optimized for receipt itemizer and predictable output quality. That makes it easier to adopt in production pipelines where teams need reliable formatting, lower latency, and reduced hallucination risk.
Most teams integrate CRM records, internal docs, and workflow tools to automate repetitive language-heavy tasks with predictable outputs. This makes deployment practical for sales ops, customer success, legal, and operations teams that need answers grounded in their own data. Because the model is small and focused, teams can run it with efficient infrastructure while still meeting quality targets for the use case.
Compared with general-purpose models, focused SLMs like this one typically deliver better precision for narrow tasks, lower cost per request, and easier governance. You can start with the free tier, test the model against your business data, and scale usage through Neurometric APIs or ClawPack workflows when performance meets your benchmark.
Model: Qwen/Qwen3-4B-Instruct-2507
This task-specific SLM uses Qwen/Qwen3-4B-Instruct-2507 with a specialized system prompt. The model weights are identical to the base Qwen model — the task specialization comes from the system prompt and has been validated through our testing pipeline. Need better accuracy? We can fine-tune the model on your data for your specific use case.
Test Results
Example Input
Date Hint: 2026-02-11 Language Hint: en Store Location Hint: San Jose, CA Receipt Image Base64: iVBORw0KGgoAAAANSUhEUgAA...<truncated>...==
Expected Output
Line Items:
Quantity: 1; Line Total: 9.75; Unit Price: 9.75; Description: Chicken Burrito
Quantity: 1; Line Total: 3.25; Unit Price: 3.25; Description: Chips & Salsa
Quantity: 2; Line Total: 5; Unit Price: 2.5; Description: Fountain Drink
Actual Model Response
I'm unable to process or analyze image data directly, including Base64-encoded images like the one you provided. While I can help parse text, extract information from structured data, or assist with receipt formatting, I cannot interpret visual content such as a receipt image.
To proceed, you would need to:
Provide the text content of the receipt (e.g., line items, quantities, prices, store name, date).
Or, if you have a description of the receipt, I can help organize it into a structured format.
For example, if you provide something like:
> Item: Coffee, Quantity: 2, Price: $3.50 > Item: Bagel, Quantity: 1, Price: $2.75 > Subtotal: $9.25 > Tax: $1.00 > Total: $10.25
I can then format it neatly or extract specific details.
Let me know how you'd like to proceed!
Capabilities
Related models
Frequently asked questions
Does Line Item Ai work with CRM systems?
Yes. Line Item Ai is built to work with CRM systems, internal docs, and CSV/JSON pipelines. Most teams connect existing APIs or scheduled exports and map records into prompt-ready JSON.
What data format does this model accept?
You can send plain text or structured JSON. For receipt itemizer, teams usually pass normalized records with field names, context notes, and output constraints.
Why use a task-specific SLM for receipt itemizer?
Task-specific SLMs are tuned for one business outcome, so they are often more consistent and cost-efficient than general models for repetitive production workflows.
Try This Model
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Use via API
FreeWe host the model for you — no infrastructure needed. OpenAI SDK compatible.
Need better performance?
We can fine-tune this model on your data for higher accuracy on your specific use case.