Claix
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AI-powered document extraction infrastructure. Convert PDFs, Excel files, and scanned documents into structured JSON.
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- Developer Tools, Other, AI
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This endpoint accepts a tabular file (.xlsxor.csv) and returns it transformed into JSON with the exact structure you define via a schema. The file columns do not need to match schema property names literally: the system automatically recognizes synonyms, abbreviations, translations, and variants.
It is intended forserver-to-serverintegrations (backends, scripts, n8n/Zapier/Make). It must not be called from an end user's browser because it requires a secret API key.
Every request must include your API key. It is a personal server credential, distinct from any session token, and should be handled with the same care as a database password.
Option A — Dedicated header (recommended):
Option B — Standard Authorization header:
Authorization: Bearer <YOUR_API_KEY>
Either one is sufficient. If you send both,x-api-keytakes priority.
Before processing the file, the system validates that:
- The API key exists and is active.
- The associated account is active (not suspended).
If validation fails, the request is rejected with401without processing the file.
Method:POST ·Content-Type:multipart/form-data
Field names must be exactlyfileandschema_id. The schema must be of the Excel → JSON type; if you send one of the opposite type, you will receive400.
- Formats:.xlsx,.csv.
- At least one header row and one data row.
- If there are multiple sheets, only the first is processed.
- Have your API key and the correct schema_id ready.
- Build a POST request to the endpoint URL.
- Add the authentication header.
- Sendmultipart/form-datawithfileandschema_id.
- Check the HTTP status code: only 200 indicates success.
See the panel on the right for examples in cURL, JavaScript, Node.js, Python, PHP, and n8n. You can switch languages with the selector at the top and copy the code directly.
{ "success": true, "schema_utilizado": "Leads de Ventas", "total_filas_procesadas": 247, "mapa_columnas": { "Nom_cliente": "nombre_completo", "Tlf": "telefono_movil", "mail de contacto": "email_contacto" }, "data": [ { "nombre_completo": "Ana María Gómez", "cargo": "CEO & Founder", "empresa": "TechSolutions", "email_contacto": "ana.gomez@techsolutions.com", "telefono_movil": "+1 (555) 019-2231" } ] }
{ "error": "Descripción legible del problema.", "detalle": "Información técnica adicional (solo presente en algunos casos)." }
400— Invalid request: missing file or schema_id, incorrect multipart, corrupt file, no data rows, or schema of the wrong type.
401— Authentication failed: key missing, nonexistent, deactivated, or account suspended.
404— schema_id does not exist or does not belong to your account.
422— File read but no matches with the schema.
502— AI service failure (transient; retry with backoff).
405— Method other than POST. ·500— Internal error.
- Validate the HTTP status code before reading data.
- Only columns with a real match in the schema appear.
- Retry automatically only on 500 and 502, never on 4xx unless the request changes.
- Savemapa_columnasfor traceability during testing.
- Do not include your API key in frontend code or public repositories.
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
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