# Document AI and OCR Approach Assessment: Buy, Build or Self-Host > Source: https://netray.co/tools/idp-vendor-selection-assessment > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Free Tools ## Short answer Answer ten questions about volume, document variety, security and ERP integration to see which approach and which preparation steps fit your situation. ## Category ai-automation ## Audience - AP manager - CIO - Procurement lead ## Tool **Kind:** assessment **Questions:** #### How many documents do you process per month? **Help:** Count invoices, certificates, packing slips and similar documents together. **Options:** ##### Fewer than 500 **Score:** 1 ##### 500 to 5,000 **Score:** 2 ##### 5,000 to 25,000 **Score:** 3 ##### More than 25,000 **Score:** 4 #### How many distinct supplier layouts do you receive? **Options:** ##### Mostly a few dozen stable layouts **Score:** 1 ##### Hundreds with some change over time **Score:** 2 ##### Thousands or constantly changing **Score:** 4 #### What is the mix of document quality? **Options:** ##### Mostly native PDFs or e-invoices **Score:** 1 ##### Mix of native PDFs and clean scans **Score:** 2 ##### Many scans, photos or faxed pages **Score:** 4 #### Do you have measured baselines (time per document, error rate)? **Options:** ##### Yes, measured recently **Score:** 4 ##### Rough estimates only **Score:** 2 ##### No baseline **Score:** 0 #### Do you have verified ground truth for a sample of documents? **Options:** ##### Yes, a few hundred labeled documents **Score:** 4 ##### A small set (under 50) **Score:** 2 ##### No **Score:** 0 #### Can documents leave your network for processing? **Help:** Consider export-controlled, customer confidential and personal data. **Options:** ##### Yes, cloud services are approved **Score:** 1 ##### Only some documents or regions **Score:** 2 ##### No, processing must stay on-premises or in our private cloud **Score:** 4 #### How clean is your vendor and part master data? **Options:** ##### Clean and de-duplicated **Score:** 4 ##### Some duplicates and gaps **Score:** 2 ##### Known quality problems **Score:** 0 #### How will extracted data enter the ERP? **Options:** ##### Defined interface, API or import with a test system **Score:** 4 ##### Manual keying from a review screen **Score:** 2 ##### Not decided **Score:** 0 #### Do you have staff to own review queues and exceptions? **Options:** ##### Yes, named owners and time allocated **Score:** 4 ##### Shared informally **Score:** 2 ##### No one assigned **Score:** 0 #### Do you have technical staff or a partner for running models and services? **Options:** ##### Yes, in-house or a committed partner **Score:** 4 ##### Limited, would rely on a vendor **Score:** 2 ##### None **Score:** 0 **Bands:** #### Early: prepare before choosing **Min:** 0 **Max:** 35 **Verdict:** Missing baselines, ground truth or ownership make any tool comparison unreliable. Preparation will pay back more than a vendor choice right now. **Recommendations:** - Measure current handling time and error rate for two weeks - Collect and label a representative sample set - Assign owners for review and exceptions - Clean the vendor master before automating against it #### Developing: run a structured pilot **Min:** 36 **Max:** 60 **Verdict:** You have some foundations. A small pilot with written success criteria will show which approach fits and which gaps to close first. **Recommendations:** - Run the pilot readiness checklist and close critical items - Compare at most three options on the same held-out test set - Decide the security boundary before inviting vendors - Start with the document types that have stable layouts #### Ready: evaluate approaches with evidence **Min:** 61 **Max:** 80 **Verdict:** You can compare buy, build and self-hosted options on measured results. Volume, variety and security rules should drive the choice. **Recommendations:** - Score vendors on field-level accuracy and review effort, not demos - Include a self-hosted open-source or open-weight option if data must stay private - Negotiate on cost per document at your real volume - Plan integration and audit trail design in parallel #### Advanced: optimize and scale **Min:** 81 **Max:** 100 **Verdict:** Your data, process and ownership are in place. Focus on higher straight-through rates, continuous measurement and extending to more document types. **Recommendations:** - Monitor accuracy per field and per supplier continuously - Re-test after each model or engine change - Extend to quality documents such as certificates of conformance - Automate exception categorization to guide improvements ## Content **Intro:** Choosing between a packaged service, a custom build and a self-hosted model is mostly decided by your volume, document variety, data sensitivity and process maturity. This ten question assessment shows where you stand and what to fix first. **Sections:** #### How to use the assessment **Body:** Answer based on your situation today, not the target state. Involve AP, quality and IT in the answers, because each sees different parts of the picture. The score is a percentage of the maximum, and the band gives a verdict with next steps. It is a readiness check, not a ranking of vendors, so do not treat a lower band as a reason to stop. It tells you what to prepare. #### What the questions measure **Body:** Volume and layout variety show how much a template-based approach will cover and how much needs a layout-aware or model-based one. Document quality predicts how much preprocessing is needed. The baseline, ground truth and master data questions measure whether you will be able to prove the result. The security question determines whether cloud services are an option at all. **Bullets:** - High volume with many layouts favors model-based extraction - Stable layouts and low volume may be served by templates or vendor ERP features - Strict data boundaries favor self-hosted engines - No ground truth means no reliable comparison #### Buy, build or self-host **Body:** A packaged service is often the fastest route when documents may leave your network and layouts are common. A custom build gives control over validation and ERP posting, but needs engineering time. Self-hosting open-source OCR or open-weight models keeps documents on your own servers, which matters for export-controlled or confidential content, at the cost of running the infrastructure. The ERP vendor's own capture module can be enough for small volumes with standard layouts. #### Common mistakes **Body:** Buying on the strength of a demo with clean documents, skipping the baseline so that savings cannot be proven, and ignoring the people side of exception handling. Another frequent error is to decide the security boundary after selecting a vendor, which can invalidate the whole choice. **Cta:** If you want a private, on-premises option that works with your ERP, Netray can walk through your results and outline what that would involve. **Faq:** #### Is a lower score a bad result? **Answer:** No. It simply shows that preparation, such as baselines, labeled samples and clear ownership, will give you more value than choosing a tool now. Closing those gaps makes every later comparison faster and more reliable. #### When is the ERP vendor's own capture enough? **Answer:** When volumes are modest, suppliers are mostly standard and documents are clean, the built-in capability or a basic add-on may suffice. Test it on your own sample set before buying anything more complex. #### Why does the security boundary matter so much? **Answer:** If documents contain export-controlled, customer confidential or personal data, sending them to a cloud service may not be allowed. That narrows the options to self-hosted or private deployments before any feature comparison. #### Can I use the same approach for quality documents? **Answer:** Largely yes. Certificates of conformance, inspection reports and packing slips need different fields and validations, but the same preparation applies: representative samples, ground truth, thresholds and a review process. ## Search terms document ai vendor selection, ocr build vs buy, idp vendor evaluation criteria, invoice ocr software selection, document processing readiness assessment, self hosted ocr vs cloud ocr, ap automation vendor selection --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json