Bring Your Own AI: Why Document Teams Should Own Their Models
Dynamite Docs Team — 2026-08-12
The bundle trap
Most document-extraction tools ship with exactly one AI vendor baked in. You never see the model choice, you never see the per-page price, and you never see the training policy. You just get the bill at the end of the month and hope the roadmap matches your accuracy needs.
For document work, that is a bad trade. Extraction is a volume game: thousands of pages a month, each a fraction of a model call. The vendor a tool bundled in 2024 may be the wrong price, wrong speed, or wrong privacy posture in 2026. You should be able to change engines without changing your workflow.
- Bundled tools pass one vendor’s pricing, roadmap, and privacy stance through to you with no say
- Extraction volume makes per-page cost the deciding factor, and it is the one thing you can’t see
- The best model for clean digital PDFs is different from the best model for crumpled scans
The same workspace, your choice of engine
Dynamite Docs decouples the workspace from the model. Connect any of 19+ providers: Gemini, Mistral, OpenAI, Anthropic, Groq, Cloudflare, OpenRouter, or any OpenAI-compatible endpoint, and pay their rate with zero markup. On Pro and Ultra, bring-your-own-key processing is unlimited and never counts against your monthly allowance.
You can even split a single batch: clean digital PDFs are parsed deterministically from their embedded text (no AI at all, identical results every time, free), while scanned or photographed pages are routed to the vision model you choose for that job. The model is a knob you turn, not a cage you live in.
Privacy is a model decision, not a checkbox
Every provider has a different training policy, and most tools never tell you which one your documents are flowing through. Dynamite Docs is explicit about which providers train on your data, stores your keys encrypted, and offers Sensitive Documents mode that blocks training-permitted providers by default.
When compliance demands it, the same workspace runs against local Ollama on your own machine, or self-hosted and fully air-gapped on your VPC. Same product, entirely your infrastructure.
How to choose between your own providers
Start with the providers you already pay for; most teams have a Gemini or OpenAI key sitting in a drawer. Use it for the easy scans first, and keep a second, cheaper key for clean digital documents that would otherwise run through a vision model you do not need.
Compare on the three numbers that actually matter: per-page cost at your volume, accuracy on your document types, and whether the provider trains on your data. Because the workspace stays the same, switching providers is a settings change, not a migration. Try a new model on a real batch and keep whichever wins.
The value of extraction stays yours
Ownership includes the intelligence. Every correction you make becomes a remembered pattern, so extraction gets faster and more accurate the more you use it. Those patterns, the confidence-scored tables, and your exports are your data, in your workspace, moving on your terms.
That is the point: enterprises, governments, startups, and individuals should have choice and flexibility instead of being locked into one AI vendor’s pricing, roadmap, or privacy posture. The model serves the workflow, not the other way around.
When to just use hosted AI instead
BYOK is a choice, not a requirement. If you don’t have provider keys or you want zero setup, the hosted models on your plan work out of the box: 25 page-equivalents a month free, with hard caps on every plan and no overage billing. Start there, and add your own keys when volume or compliance makes ownership the right move.
Related workflow: Bookkeeping automation for the documents that eat your week.
Try it yourself. Upload a PDF, scan, or image and let Dynamite Docs infer the schema.