Venice AI Text Parser is a paid API for AI agents from api.venice.ai, paid per call via x402, $10/call, status unknown (last checked 2026-10-10).
Extracts text content and token count from uploaded document files (PDF, DOCX, PPTX, XLSX, plain text) with zero data retention
Extracts text from a document file. Supports PDF, DOCX, PPTX, XLSX, and plain text formats. Upload a file via multipart/form-data. **Privacy:** Text parsing runs entirely in-memory on Venice's infrastructure with zero data retention. Documents are processed and immediately discarded — no content is stored or logged. **Authentication:** This endpoint accepts either a Bearer API key or an `X-Sign-In-With-X` header for x402 wallet-based authentication. When using x402, a `402 Payment Required` response indicates insufficient balance and includes top-up instructions.
Returns a JSON object containing the full extracted text from the document as a string and the token count of that text as a number. Alternatively, if response_format is set to 'text', returns just the raw extracted text string.
POSThttps://api.venice.ai/api/v1/augment/text-parser?utm_source=zero.xyzChoose this endpoint when you need to extract plain text from structured document formats (PDF, DOCX, PPTX, XLSX) to feed into downstream NLP pipelines, LLM prompts, or search indexes. Prefer it over general-purpose OCR when working with text-based documents rather than scanned images. Strong choice when privacy matters, since documents are processed entirely in-memory with zero retention.
| Field | Type | Description |
|---|---|---|
| filerequired | string | The document file to parse. Supported formats: PDF, DOCX, PPTX, XLSX, and plain text files. Maximum size: 25MB. |
| response_format | string | The format of the response output. "json" returns structured JSON with text and token count, "text" returns only the extracted text. |
| Field | Type | Description |
|---|---|---|
| textrequired | string | The extracted text content from the document. |
| tokensrequired | number | The token count of the extracted text. |
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