DocWire SDK: Deterministic, Auditable, and Secure Data Processing
DocWire is a foundation layer for modern information workflows, enabling deterministic extraction, retrieval and processing of unstructured data at scale. With support for 100+ file formats, built-in OCR, and secure AI integration, it transforms documents into reliable, searchable, and editable data for extraction, retrieval, and inference pipelines.
Native C++20. No compromises on computational speed.
No Room for Guesswork
Most data processing stacks are built for the easy case: clean inputs, unlimited cloud resources, and a human in the loop when something breaks. The real world looks different.
A medical wearable cannot drain its battery parsing a malformed data stream.
A compliance system cannot hallucinate an audit trail.
A trading platform cannot tolerate a garbage-collection pause at the wrong moment.
An autonomous system cannot crash because of an undocumented proprietary file format.
These are not edge cases. They are the normal operating conditions of any system that runs in production, at scale, in a regulated or time-critical environment. DocWire SDK was built for exactly these conditions.
AI Integration
The layer your AI pipeline is missing.
Every enterprise AI initiative stalls at the same point: raw documents cannot be fed directly into a model. Dirty PDFs, broken HL7 segments, skewed DICOM scans, multi-level email archives — none of these are LLM-ready without pre-processing.
Feeding unstructured input directly into a model is not just slow and expensive. In regulated industries, it is a compliance failure waiting to happen.
DocWire is the orchestration layer between your raw documents and your AI models. It ingests, parses, normalises, and structures data from 100+ formats into clean, chunked, embeddings-ready output — on-premise, without cloud dependency, with a full audit trail.
Built-in local models run without any cloud dependency. Classification, summarisation, translation, entity extraction, and embedding — no API calls, no data egress.
Direct integration with the OpenAI API for workloads that can use cloud services: GPT-4o, o3, and the full model family. Summarise, classify, translate, or embed via a single pipe chain element.
Structured chunking and embedding interfaces are built in. DocWire prepares document data for retrieval-augmented generation, semantic search, and vector database ingestion — without custom glue code.
100+ formats. Zero approximations.
From enterprise documents to regulated medical formats. DocWire parses what other libraries refuse or approximate.
Medical
DICOM (DCM), HL7
Production-tested parsing for healthcare data formats. DICOM scan metadata extraction and HL7 message segment traversal — validated for HIPAA-regulated environments.
Email & Mailboxes
PST, OST, EML
Full Outlook mailbox traversal including PST and OST archives. EML with nested attachments parsed recursively — complete email chain reconstruction.
Microsoft Office
DOCX, XLSX, PPTX, DOC, XLS, XLSB, PPT, RTF
Office Open XML and legacy binary formats. Tables, embedded objects, and metadata extracted with full fidelity — including XLSB binary workbooks.
Four pillars. No compromise.
Deterministic execution
No hidden allocations. No garbage-collection pauses. No unpredictable latency spikes. DocWire gives you absolute control over memory ownership and CPU execution paths. Your pipeline does exactly what you tell it to do — consuming the same time and memory on every run, every time.
Auditable by design
Every extraction is traceable to its source — document, field, value. Security teams and compliance auditors can verify exactly how data was handled at every step. Because DocWire's pipelines are mathematically rigorous and open-source, traceability is not an issue for regulatory compliance.
Optimised for the edge
We do not treat memory and CPU as infinite resources. DocWire is engineered for constrained environments — from enterprise servers to smartwatches, WebAssembly, and autonomous vehicles. We minimise binary bloat and optimise for CPU cache, so you can deploy enterprise-grade data processing to lightweight, low-power devices without sacrificing speed.
Resilient against chaos
Real-world data is corrupted, malformed, and undocumented. When DocWire encounters an unknown format or a broken file, it does not crash — it degrades gracefully, applying fallback rules to safely extract maximum fidelity data. You get stability in production, not surprises.
Infrastructure, not a wrapper.
Most document processing tools are wrappers: Python bindings around some 3rd party library, held together by cloud infrastructure and a prayer. When they fail in production, you inherit an unwanted architecture debt.
DocWire is different. It is a composable C++20 SDK — a set of reusable, auditable building blocks that wire directly into your application. You control the parsing chain. You control memory ownership. You control how data flows from ingestion to output, without hidden allocations, background services, or black-box transformations.
The pipe operator model makes pipelines readable and extensible:
path("record.pdf")
| content_type::detector{}
| office_formats_parser{}
| PlainTextExporter()
| out_stream;Every element in the chain is open-source, testable, and replaceable. You can add custom parsers, transformers, or exporters without modifying the core. This is what infrastructure ownership looks like.
Start with the problem. We'll handle the rest.
DocWire SDK is available as open-source under AGPLv3, or under a commercial licence for proprietary deployments. Long-Term Support agreements are available for teams that need API stability across multi-year programmes.
If you are building something where failure is not an option, talk to our engineers first. We can tell you within one conversation whether DocWire is the right fit for your architecture — and if it is not, we will tell you that too.