LLMWhisperer is a document OCR engine purpose-built for LLM pipelines. Get clean, layout-preserved text from PDFs, images, scans, handwriting and more.
Trusted by forward-thinking engineers
LLMWhisperer parses documents into text LLMs can read. Headers in place. Tables that look like tables. Checkboxes marked. Columns in the right order.
Complex documents carry meaning in their structure, not just their words: tables, checkboxes, multi-column layouts. LLMWhisperer preserves that structure exactly as designed, so nothing gets lost in translation. You get accurate extraction from even the messiest real-world documents, without manual cleanup.
Document parsing usually means stitching together an OCR engine, de-skew scripts, table reconstruction, and a cleanup pass. LLMWhisperer replaces that pile with one API call that returns LLM-ready text.
Send a PDF, an image, a scan or any document to the API. One file or a batch.
Tables, columns, checkboxes, and handwriting come back intact, LLM-ready.
Drop the output into your prompt, or get an API key to fuel your extraction step.
Clean, structured input, fewer hallucinations in your answers.
Pair LLMWhisperer with your own LLM and pull any field you define.
Transaction tables parsed with rows and columns intact.
Line items, totals, and tax fields kept in place for your extractor.
Handwritten intake, lab reports, and claims, structure preserved.
ACORD forms with every checkbox and field captured.
Dense, multi-column, footnoted pages parsed without the scramble.
Bills of lading and customs forms: scanned, stamped, and readable.
Rotation, skew, and noise handled. Malformed PDFs auto-repaired.
Rotation and skew compensation built in.
Printed and handwritten text are read together.
Filled and unfilled states show up in the output.
Row and column structure get captured accurately.
Reading order preserved across pages.
Word, Excel, PowerPoint, PDF, images, HTML, and the rest: 20+ file types through the same API.
Every document gets the processing it needs, nothing more. Run clean PDFs through the default mode and save the heavy-duty for the hard ones with instant mode-switching. No commitment for your whole workload.
Stop taking extractions on faith. The Highlight API shows exactly where on the original page each answer came from. Human review, audits, and compliance become second nature instead of a chore.
Stop taking extractions on faith. The Highlight API shows exactly where on the original page each answer came from. Human review, audits, and compliance become second nature instead of a chore.
LLMWhisperer reads 300+ printed languages and handwriting in 12, including English, Chinese, Japanese, and Arabic. Nothing additional to install, nothing to configure, no additional charge.
The simple path is the default: send a document, get clean text. When the batch gets big, Webhooks stream to your endpoint as soon as parsing is done. No polling, no babysitting.
LLMWHISPERER × UNSTRACT
LLMWhisperer is the parsing engine behind Unstract, the agentic document extraction platform. Unstract lets you define the fields you want to extract and deploy the result as an API, or run ETL pipelines right to production.
Cloud
Fully managed. Sign up, get an API key, start parsing in under a minute. 100 pages a day free, forever.
On-Premise
Runs inside your AWS, Azure, or GCP VPC. Documents never leave your network. Same API, same modes, same output.
Integrations
Python and JavaScript clients drop into your codebase. An n8n custom node brings parsing to no-code automations. A Postman collection lets you try every call before you write one.
BEATS OCR ENGINES & PARSERS
I value how accurately it converts complex PDFs into clean text, even when the tables have unusual or inconsistent structures. It beat every OCR engine and PDF parser I tried. That reliability makes it easy to embed in a fully automated monitoring and prospecting pipeline, from PDF conversion through to field extraction with another LLM. The result is a faster, more scalable workflow with no manual effort.
Heva Data
CHECKBOXES / HEALTHCARE DOCUMENTS
LLMWhisperer extracts data from our PDF documents quickly and accurately. Proper handling of checkboxes is of utmost importance to us, and it gets them right every time. We use it daily in our healthcare business to process unstructured clinical data that only comes in PDF form, then feed the clean output into an LLM for further processing.
Datajo
PRODUCTION AT SCALE
I used the API to process over 10,000 individual PDFs. Built-in options like switching the quality mode and bounding tables were super helpful. Extraction speed and accuracy were core to the product we were launching, and when you compare the accuracy and organisation of LLMWhisperer’s output against tools like PDF.co, it was night and day.
Advisor
DEVELOPER EXPERIENCE
Easy integration into my existing systems was the most important point for me, and it’s very developer-friendly. Processing speed is unbeatable while maintaining unbeatable quality. I control in the request which information I want back and in what format. Table recognition for line items on invoices and delivery notes is unbeatable, and so is the cost in this segment.
ELO Digital Office GmbH
Unstract adheres to the strict rules and regulations of various compliance authorities. Rest assured, we have policies, systems, and processes to ensure that your data is always safe, secure, and private.
Try it yourself
100 free pages every day, on any mode. No credit card. No commitment.
See Unstract in action with walkthroughs of core features and real extraction workflows.
Managed cloud, on-premise, or open-source. Unstract adapts to your infrastructure needs, so choose what works best for you.
Prompt engineering Interface for Document Extraction
Prompt engineering Interface for Document Extraction
Make LLM-extracted data accurate and reliable
Use MCP to integrate Unstract with your existing stack
Control and trust, backed by human verification
Make LLM-extracted data accurate and reliable
Spreadsheet data extraction: Handling multi-tab, multi-format files & more
