Full-Text Search for PDFs, Word & Excel: Local, Fast & Secure
Searching through thousands of internal PDFs, legal agreements, financial statements, and technical spreadsheets shouldn't require sending sensitive corporate files to third-party cloud APIs. AveLynx provides local, sovereign full-text document search with zero per-document indexing fees.
The Problem with Cloud Document Search APIs
Most modern document search systems force businesses to upload files to proprietary SaaS providers. This introduces serious drawbacks:
• Confidentiality & Compliance Risks: Uploading internal contracts, IRS tax filings, HR records, or medical records violates HIPAA, GDPR, SOC 2, or defense procurement regulations.
• Metered Extraction Taxes: Cloud APIs charge per page or per megabyte. When processing tens of thousands of pages, monthly costs escalate rapidly.
• Network Latency: Transferring multi-gigabyte document archives over the public internet slows down indexing pipelines.
Native Document Processing Without Apache Tika Bloat
Traditional self-hosted solutions rely on Apache Tika, which bundles dozens of external dependencies, inflates container sizes by over 100MB, and introduces frequent Common Vulnerabilities and Exposures (CVEs).
AveLynx uses a high-performance, lightweight extraction architecture:
• PDF Documents: High-speed extraction powered by Apache PDFBox 3.0.3 (~3MB JAR footprint).
• Word (.docx) & Excel (.xlsx): Native streaming XML extraction using XMLStreamReader and ZipInputStream with zero external library dependencies.
• CSV & Text: Chunked line-by-line UTF-8 streaming ingestion.
• Instant BM25 Indexing: Extracted document bodies and metadata are immediately tokenized into Lucene inverted indices, ready for sub-15ms queries.
Key Use Cases for Local Document Search
• Legal & Compliance Audits: Search contracts and discovery documents for clauses, signatures, and dates instantly.
• Nonprofit & Foundation Management: Index grant applications, board minutes, and IRS Form 990 / 8879 tax filings (as used in our GrantPulse platform).
• Classified & Sovereign Research: Deploy in 100% air-gapped facilities without internet access. See air-gapped search.
Deploying Document Search in Your Infrastructure
Stretchy's document extraction engine runs anywhere you deploy Docker, on bare-metal servers, or embedded into custom desktop and server applications. Contact our team through the AveLynx digital card to schedule an architecture review.
Common Questions
Can it extract text from scanned PDFs?
For scanned image-based PDFs, Stretchy integrates with standard local OCR pipelines (such as Tesseract) to convert scanned pages into searchable text before indexing, maintaining total data sovereignty.
How many documents can Stretchy index on a single machine?
A modest 4-vCPU server with 8GB RAM can easily index and query hundreds of thousands of multi-page documents while maintaining sub-20ms query response times.