Key Capabilities
Intelligent Document Extraction
Extract structured data from contracts, invoices, reports, and legal filings using multimodal AI that understands layout, tables, handwriting, and embedded images
Automated Document Classification
Classify documents by type, topic, sensitivity level, and regulatory category across millions of files without manual tagging or rule-based systems
Cross-Document Semantic Search
Search across your entire document corpus using natural language queries that understand context, synonyms, and domain-specific terminology
How It Works
Enterprise teams drown in unstructured documents. Contracts, legal filings, compliance reports, technical manuals, and internal memos accumulate faster than any team can read, classify, or extract value from. Mixpeek's document intelligence platform processes documents of any format and complexity, extracting structured data, classifying content, and making every page searchable through semantic understanding. Unlike traditional OCR or keyword search, Mixpeek understands document layout, table structures, embedded charts, handwritten annotations, and cross-references between documents. Feature extractors analyze each document across text, visual layout, and embedded media simultaneously, building a unified representation that powers intelligent retrieval. Collections organize documents by project, department, or regulatory domain, while namespaces isolate data for multi-tenant deployments. Retrievers combine semantic search with metadata filters to surface the exact clause, figure, or data point your team needs in seconds rather than hours. Whether you are processing 10,000 contracts for due diligence, indexing a decade of compliance filings, or building an internal knowledge base from technical documentation, Mixpeek delivers the intelligent document processing infrastructure that scales with your organization.
Benefits
85% reduction in manual document review time
Sub-second search across millions of documents
99%+ extraction accuracy for structured fields
Automated regulatory classification and compliance tagging
Unified search across PDFs, scanned images, Word documents, and spreadsheets
Why Mixpeek
Multimodal understanding processes text, layout, tables, and embedded images simultaneously rather than treating documents as flat text. Mixpeek feature extractors capture semantic meaning at the paragraph level while preserving document structure, enabling retrieval that understands both what a document says and how it is organized
Frequently Asked Questions
What document formats does Mixpeek support for intelligent processing?
Mixpeek processes all common document formats including PDF (native and scanned), Microsoft Word (DOC, DOCX), Excel spreadsheets (XLS, XLSX), PowerPoint presentations (PPT, PPTX), plain text, HTML, and image files containing text (JPG, PNG, TIFF). Scanned documents are processed through enhanced OCR that handles skewed pages, handwriting, stamps, and low-resolution scans. Documents can be ingested from S3, GCS, Azure Blob Storage, or via direct API upload.
How does Mixpeek handle complex document layouts like tables and multi-column formats?
Mixpeek uses layout-aware extraction models that detect and preserve document structure including tables, columns, headers, footers, sidebars, and nested lists. Table extraction captures row and column relationships, merged cells, and header mappings as structured JSON. Multi-column layouts are correctly segmented so text flows in reading order rather than being merged across columns.
Can I build custom document classification taxonomies?
Yes. Mixpeek supports custom taxonomy creation through labeled training data or zero-shot classification using natural language descriptions of your categories. Common enterprise taxonomies include document type (contract, invoice, memo, report), sensitivity level (public, internal, confidential, restricted), regulatory category (GDPR, HIPAA, SOX), and department-specific classifications. Custom taxonomies can be applied alongside standard classifications.
How does cross-document semantic search differ from traditional full-text search?
Traditional full-text search matches keywords and requires exact or fuzzy string matches. Mixpeek semantic search understands meaning, so a query for 'termination clauses with 30-day notice' finds relevant paragraphs even when the document uses different wording like 'cancellation provisions requiring one month advance written notice.' Semantic search also works across document types, finding related content in contracts, memos, and email attachments simultaneously.
What is the extraction accuracy for structured fields like dates, amounts, and party names?
For well-formatted digital documents, field extraction accuracy exceeds 99% for common fields including dates, monetary amounts, company names, addresses, and reference numbers. Scanned documents achieve 95-98% accuracy depending on scan quality. All extractions include confidence scores, allowing you to route low-confidence results to human review while auto-processing high-confidence extractions.
How does Mixpeek handle document versioning and change detection?
Mixpeek can process multiple versions of the same document and identify differences at the paragraph, clause, and field level. This is particularly valuable for contract redlining, policy update tracking, and regulatory filing comparisons. Change detection works across formats, so you can compare a Word document against a scanned PDF of an earlier version.
Can Mixpeek extract data from handwritten documents or annotations?
Yes. Mixpeek includes handwriting recognition models that process handwritten notes, annotations, signatures, and form fields. Accuracy varies by handwriting legibility, but the system handles common use cases including handwritten form entries, margin notes on printed documents, and signed agreement pages. Confidence scores flag low-legibility content for human review.
How does entity extraction and relationship mapping work across documents?
Mixpeek extracts named entities including people, organizations, locations, dates, and monetary amounts from every processed document. Entities are deduplicated and linked across the corpus, building a relationship graph that reveals connections between parties, agreements, and events that span multiple documents. This is especially valuable for due diligence, litigation support, and compliance investigations.
What security and compliance certifications does Mixpeek hold for document processing?
Mixpeek is SOC 2 Type II certified with data encrypted in transit (TLS 1.3) and at rest (AES-256). We support data residency requirements with regional deployment options. Access controls support role-based permissions, and comprehensive audit logs track every document access and processing event. For organizations with strict requirements, on-premise deployment options are available.
How does pricing work for document intelligence?
Pricing is based on document volume and processing features enabled. Basic extraction and classification starts at lower tiers suitable for teams processing hundreds of documents monthly. Enterprise plans support millions of documents with dedicated infrastructure, custom model training, and priority support. All plans include semantic search across your processed corpus. Contact us for a custom quote based on your volume and requirements.