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SuVerse Freight — Fuel Receipt Parser
x402
SuVerse Freight — Fuel Receipt Parser is a paid API for AI agents from api.suverse.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Extracts structured data from fuel receipts submitted as text, PDF, or image, returning parsed fields useful for freight accounting and IFTA reporting.
Price / call$0.05
Success—
StatusUnknown
How this service works
SuVerse Freight — fuel receipt parser (freight.parse_fuel_receipt)
Output
Returns a structured JSON object containing extracted fuel receipt fields such as vendor name, station location, transaction date and time, fuel type, gallons purchased, price per gallon, total amount, and any available truck or driver identifiers — ready for use in accounting, IFTA reporting, or expense management systems.
Example use cases
IFTA fuel tax report automation
“I have a stack of fuel receipts from last quarter as PDFs. Can you parse each one and extract the gallons purchased, fuel type, state, and transaction date so I can compile our IFTA fuel tax report?”
Fleet expense tracking from receipt photos
“Our drivers are snapping photos of their fuel receipts and sending them in as base64 images. Can you extract the vendor name, total amount, gallons, and date from this receipt image using OCR mode?”
Freight accounting from emailed receipt text
“I got a fuel receipt pasted as plain text from our driver — can you parse it in text mode and pull out the price per gallon, total gallons, and purchase date for our accounting records?”
Technical details
Endpoint
POSThttps://api.suverse.io/v1/freight/parse_fuel_receiptWhen to prefer
Choose this endpoint when you need to digitize and structure fuel receipts specifically in a freight/trucking context, especially when inputs arrive in mixed formats (scanned images, PDFs, or pasted text). It is purpose-built for freight fuel receipts and IFTA/expense use cases, making it more reliable than generic document OCR for this domain. Prefer it over generic OCR APIs when field-level accuracy for gallons, fuel type, and vendor location is critical.
Side effects
- Low-quality or blurry image input may result in incomplete or inaccurate OCR extraction
- Unrecognized receipt formats may yield missing or null fields
- Invalid base64 encoding returns a parsing or input validation error
- Text input that is not a fuel receipt returns empty or irrelevant fields
- Mode mismatch (e.g., sending pdf_base64 but specifying text mode) may cause degraded results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | |
| text | string | |
| pdf_base64 | string | |
| image_base64 | string |
Tags
x402
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