LLMWhisperer
LLM-friendly document conversion service for PDF or scanned files, highlight metadata, async webhooks, and usage statistics.
Suited for AI document pipelines that convert PDFs into LLM-ready text, pull bounding-box metadata for highlights, and monitor account usage by tag.
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Example Use Cases
These are example ways Snow can use LLMWhisperer when building apps with you. This list is meant to show examples, not document every possible capability. Connecting an account does not make Snow run these automatically on its own.
Tool to check the status of a text extraction process in LLMWhisperer. Use when the conversion is done in async mode to poll for completion status.
Tool to convert PDF/scanned documents to text format for LLM consumption. Supports file upload or URL processing with multiple modes (native_text, low_cost, high_quality, form, table). Use when you need to extract text from documents for LLM processing. Returns whisper_hash for status checking and text retrieval.
Tool to delete a registered webhook from LLMWhisperer system. Use when you need to remove a webhook that is no longer needed.
Tool to get line metadata for highlighting extracted text in the original document. Returns bounding box coordinates (x, y, width, height) and page number for each line. Use when you need to create text overlays on document images or highlight specific lines in the source document.
Tool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
Tool to retrieve usage statistics for your LLMWhisperer account based on a specific tag. Use when you need to check consumption metrics for a given tag and optional date range. Returns usage data for the preceding 30 days when date parameters are omitted.
Tool to retrieve registered webhook details for LLMWhisperer. Use when you need to get the configuration of a specific webhook including its URL and authentication token.
Tool to retrieve comprehensive details about ongoing or completed text extraction process. Use when you need to monitor the status and progress metrics of a text extraction job.
Tool to register a new webhook endpoint for LLMWhisperer async notifications. Use when you need to set up a callback URL to receive processing results. The webhook URL is validated during registration to ensure it's reachable.
Tool to retrieve extracted text from asynchronous whisper processing. Use when the conversion process was initiated in async mode and you need to retrieve the results using the whisper_hash identifier. Note that retrieval is single-use for security - once retrieved, the same whisper_hash cannot be used again.