LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.
Tool to check the processing status of a document text extraction request. Returns status values: accepted, processing, processed, or error. Use the whisper_hash from the extraction request 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 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 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 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.