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Build vs Buy:
The Real Cost of Building Document Automation

Building your own document automation means maintaining multiple OCR and LLM integrations — and still not knowing if accuracy is improving. Invofox unifies everything in one platform with continuous learning and measurable accuracy.

Continuous learning, zero heavy lifting

One endpoint, one webhook, and a true API-first architecture.

Built-in processing pipeline

Ingestion, splitting, classification, parsing, extraction, validation, and delivery all flow through a single endpoint and webhook — no pipeline to build or maintain.

Monitoring & evaluation built in

Know what works, what doesn’t, and what’s improving. Accuracy, latency, and stability are measured automatically, giving you full visibility without extra tooling.

Feedback → automatic improvement

Feedback powers Invofox’s few-shot, RAG, and fine-tuning processes, ensuring the model adapts to your documents and continuously improves.

Scalable architecture

An API gateway handles rate limits and provider availability behind the scenes, so your extraction stays fast and stable.

The reality: parsing and structuring real-world documents is harder than it looks.

Invoices, mortgage files, contracts, and financial documents come in every format imaginable. Even when teams connect multiple OCR and LLM vendors, accuracy is inconsistent — and without proper monitoring and measuring, it’s impossible to know which setup performs best or whether results are actually improving over time.

Here’s what teams underestimate when they try to build internally.

These are the same challenges Invofox already solves without requiring you to build and maintain vendor integrations or manually track model accuracy over time.

Why teams try to build — and what they learn too late

Most teams start with good reasons: control, customization, and perceived cost savings. But internal builds quickly turn into fragmented pipelines, unpredictable accuracy, and no reliable way to measure improvements or prevent quality regressions — and even if you do make it work, you’ll spend hundreds of engineering hours and lose focus on the product you’re actually trying to ship.

Why Teams Build

Control over data
Flexibility to customize
Belief it will be cheaper
Desire to own the pipeline

What They Discover

Accuracy requires constant monitoring and retraining
Each vendor integration adds recurring maintenance
No clear metrics to prove if accuracy is improving
Every new document type = new project
Infrastructure & scaling eat up resources
Quality regressions are hard to detect early
Talent churn kills internal model continuity
It takes far longer to reach a reliable, production-ready solution
OCR and LLM providers update constantly — staying “current” means nonstop vendor updates

Skip the rebuild. See what you could launch tomorrow.

Schedule a custom demo with our team and we’ll show you how Invofox works using your own documents — so you can see exactly how Invofox combines multiple OCR and LLM vendors for accuracy you can measure.

Build vs Buy: What’s Really at Stake

Features
Buy (Invofox)
Build (In-House)
Setup Time
Ready to use in under 24 hours with instant setup and API access
6-12 months to design, train, and deploy an initial version
Accuracy
Continuously improves through automatic retraining and real-world feedback loops
Depends on internal data quality and team expertise — often inconsistent across document types and is hard to measure
Maintenance
Fully managed, self-optimizing API that just works — no maintenance, no manual updates
Requires ongoing monitoring, retraining, and QA to prevent errors and maintain stability
Scalability
Proven to process millions of documents for 100+ clients — scales automatically with your workloads
Needs complex DevOps infrastructure and constant resource scaling as volume increases
Vendor Integrations
Pre-built, unified pipeline that works across leading vendors
Each OCR/LLM needs separate integration and upkeep
Model Degradation
Automatically detects and retrains models to prevent performance drops over time
Must monitor manually and retrain to maintain accuracy as layouts and data formats evolve
Metrics & Visibility
Built-in evaluation and performance tracking let you measure accuracy gains and improvements over time
Difficult to benchmark performance or know when results change
Engineering Support
Dedicated Invofox engineers help monitor performance, resolve issues, and optimize results
Internal team must troubleshoot issues alone
Compliance
Certified to SOC 2, ISO 27001, and HIPAA standards — compliance included by default
Demands regular audits, documentation, and internal certification processes
Total Cost
Transparent, usage-based pricing that stays predictable as you grow
Unpredictable expenses that increase with maintenance, infrastructure, and staffing

Building in-house can make sense for highly specialized cases or IP-sensitive systems. But most teams lose time maintaining integrations, debugging models, and guessing whether accuracy is improving.

Invofox gives you what you need most — a unified system that integrates with any vendor, improves automatically, and proves it with metrics.

It’s how teams achieve higher accuracy, faster results, and measurable savings compared to building in-house.

Trusted by Teams That Choose to Focus on What Matters

Focus on innovation, not infrastructure

Start parsing and structuring complex documents with accuracy that keeps improving — without rebuilding from scratch.

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ISO 27001 certified document processing API ensuring information security managementSOC 2 compliant API audited by AICPA for secure and reliable service operationsHIPAA compliant document parsing API for handling healthcare data securelyHIPAA compliant document parsing API for handling healthcare data securely
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