LLMWhisperer
LLMWhisperer: Flexible PDF extraction modes and usage pricing, with self-hosted deployment as an option. Ranked #25 of 60 in PDF Data Extraction Software by our editors (7.0/10); pricing: Free plan; best for developers needing low-cost OCR, tables, and forms.
At a glance
- Editor score7.0 / 10
- PricingFree plan
- Best forDevelopers needing low-cost OCR, tables, and forms
- Free planYes
- Paid from$1/unit usage-based
- Scanned-PDF OCRYes
- Facts checked23 Oct 2026
Where it wins
- Extracts native text, OCR, tables, and form fields through an API
- Preserves layout and line metadata for highlighting
- Offers usage-based tiers and self-hosted Kubernetes deployment
Where it doesn't
- Form and table detection requires the $15-per-1,000-page tier
- High-quality OCR costs $10 per 1,000 pages
- Self-hosted deployment requires Kubernetes
Our verdict on LLMWhisperer
LLMWhisperer is a document parsing service for developers and organizations extracting text and structure from PDFs, scanned documents, images, and office files for downstream LLM or application workflows. It provides a REST API with native-text, OCR, high-quality, form, and table modes, plus Python and JavaScript clients and webhook callbacks. Its mix of extraction options suits teams that need machine-readable output rather than a general-purpose PDF editor.
Pricing is metered by processed page for the cloud service, with a 100-page daily free allowance. The Free tier includes all processing modes. Paid usage starts at $1 per 1,000 pages for Native Text, which extracts text layers from digital PDFs and preserves layout. Low Cost is $5 per 1,000 pages for OCR on high-quality scans and images, with preprocessing. High Quality costs $10 per 1,000 pages and adds support for handwriting and low-quality scans. High Quality + Form/Table costs $15 per 1,000 pages and includes checkbox, radio-button, form, and table detection. The tier structure makes the intended trade-off clear: specialized OCR and structured extraction cost more than text-layer extraction.
The standout fit is structured, layout-aware extraction: output can include line metadata for highlighting, while table mode targets rows and columns and form mode detects fields and controls. Automatic native-text/OCR switching, PDF repair, and rotation or skew compensation address document variation; asynchronous status and retrieval endpoints support API workflows. LLMWhisperer is available as a managed cloud service or an on-premises Kubernetes deployment, so teams with data-residency needs have another option. Buyers who need OCR, tables, and forms in application pipelines should consider it; those needing form and table detection at the lowest tier should compare alternatives, since those modes sit in the highest listed cloud tier.
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LLMWhisperer pricing
All 5 LLMWhisperer plans and prices →
LLMWhisperer fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $1/unit usage-based |
| Scanned-PDF OCR | Yes |
| Table extraction | Yes |
| Form and field extraction | Yes |
| API access | Yes |
| Max pages per file | Not verified |
| Deployment | Cloud |
| Batch processing | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: REST API, Python client, JavaScript client, Webhooks |
| Pricing | Free plan (source) |
| Website | unstract.com |
| Facts checked | 23 Oct 2026 |
LLMWhisperer integrations
LLMWhisperer lists 4 integrations on its own site.
- REST API
- Python client
- JavaScript client
- Webhooks
Alternatives to LLMWhisperer
- ABBYY VantageAn enterprise document-processing platform with AI extraction, review, routing, and workflow integrations.9.4
- UiPath Document UnderstandingA workflow-oriented option for teams that need document extraction with human review and routing.9.3
- Adobe PDF Services APIA broad cloud API for extracting PDF content and automating document workflows.9.2
See all LLMWhisperer alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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