Imagine a messy, coffee-stained handwritten note on a napkin that says: "$50 for the thing we talked about."
- Traditional OCR: Reads text literally. Returns "50 tor the thiny..."
- GPT-4o: Reads text accurately. Returns "$50 for the thing we talked about."
- GPT-5.2: Reads text and infers intent. It might flag this as a "Non-Compliance Risk" for expense reporting because "thing we talked about" is not a valid business purpose.
Zero-Shot Table Extraction
One of the most anticipated features of GPT-5.2 is its ability to handle complex, nested tables without any examples (zero-shot).
At generic OCR tasks, maintaining row/column alignment across page breaks is a nightmare. GPT-5.2's expanded context window and specialized "spatial attention" heads allow it to understand the structure of data, not just the pixels. It sees the table as a logical entity, even if it spans three pages and has merged cells.
Why DocsRouter + GPT-5.2?
When you use DocsRouter, you get instant access to these cutting-edge capabilities with structured outputs. We ensure that the raw intelligence of GPT-5.2 is constrained to your specific JSON schema using our robust validation layer.
// Define your schema once
const InvoiceSchema = z.object({
total: z.number(),
vendor: z.string(),
lineItems: z.array(z.object({ description: z.string(), price: z.number() }))
});
// DocsRouter guarantees the response matches, powered by GPT-5.2The Verdict
Data extraction is moving from a "computer vision" problem to a "reasoning" problem. GPT-5.2 is the engine that will drive this transition, and DocsRouter is the highway that gets you there.