Make any text
structured.
Xverter is a typed extraction API that turns emails, logs, PDFs and scraped pages into schema-perfect JSON — in milliseconds, with zero prompt engineering.
From: ops@northwind.io Subject: PO #4471 — confirmed Hi — confirming the purchase order for 240 units of the X-200 sensor at $189 each, ship to our Berlin warehouse by Aug 14. Net-30 terms.
{ "po_number": "4471", "vendor": "Northwind", "sku": "X-200", "quantity": 240, "unit_price_usd": 189, "ship_to": "Berlin, DE", "due_date": "2026-08-14", "payment_terms": "net-30" }
Three quiet
convictions.
Regex was never a real abstraction.
Two decades of ad-hoc parsers, one for every vendor, breaking quietly in production. Xverter replaces all of them with a single typed call.
Schemas are the contract.
Your Zod, Pydantic, or JSON-Schema is law. The engine refuses to return anything that doesn't validate — no malformed payloads ever reach your code.
Speed is a feature, not a luxury.
Edge-deployed, streaming-capable, p50 under 200ms. Fast enough to run synchronously in the request path — not just in a worker queue.
One import.
One schema.
One call.
Define what you want.
Use the schema library you already trust. Zod, Valibot, JSON-Schema, Pydantic — all natively supported.
Hand us the mess.
Email bodies, OCR output, scraped HTML, customer replies, log lines. The uglier the better.
Get a typed object back.
Not a string. Not a "best-effort" attempt. A real, validated, fully-typed object — or a structured error.
const Invoice = z.object({
po_number: z.string(),
sku: z.string(),
quantity: z.number().int().positive(),
unit_price_usd: z.number(),
due_date: z.string().date(),
});const data = await xverter.extract({
text: email.body,
schema: Invoice,
});
// data is fully typed. always.“We replaced 14,000 lines of vendor-specific parsers with one call to Xverter. Three weeks later we deleted the parser team's Jira board.”
Stop parsing.
Start shipping.
Generate your first key and run a real extraction in under sixty seconds. We'll get out of your way.