The people behind the product
Built by accounting professionals and developers in Maharashtra, India.
Dynamite Docs extracts structured data from supported business files, including invoices, receipts, contracts, statements, and forms.
Upload a file, let the system infer the schema, review the values, and save corrections as reusable patterns. No fixed extraction template or model training is required.
The workspace is built for finance, audit, and operations teams that need document data in reviewable rows before it reaches a spreadsheet or another system.
Why we built it
Accountants, bookkeepers, auditors, and operations teams often move the same kinds of values from invoices, bank statements, and contracts into spreadsheets. Fixed templates add another maintenance task when a supplier changes its layout.
Dynamite Docs keeps the source file, extracted rows, field review, correction patterns, provider choice, and exports in one workspace. Teams can change providers without rebuilding the surrounding review process.
How it works
The core loop is infer → correct → remember. Digital PDFs can supply an embedded text layer before schema inference. Scanned or photographed pages need a vision-capable model. The workspace supports hosted providers, your own provider key, and local Ollama inference on eligible paid plans.
Extracted fields include confidence information for review. When you correct a value, the workspace can save a pattern for a similar layout. Review still matters because a reused pattern does not prove that the next document is correct.
01
Infer
Upload a document. AI identifies its fields and turns the contents into editable rows.
02
Correct
Check values beside the original. Fix the fields that need your attention before export.
03
Remember
Save corrections as patterns for similar layouts. Each new document supplies fresh values to review.
Security and privacy stance
Dynamite Docs does not use customer documents to train foundation models. Hosted and own-key requests are also subject to the selected provider's handling terms. Check the provider and routing policy before processing sensitive documents.
Stored files are encrypted in transit and at rest, and provider keys are stored encrypted server-side. Free source files are not saved in cloud file storage. Hosted and own-key inference sends document content through our server to the selected provider. Signed-in extraction results and metadata may be saved to your workspace. Starter, Pro, and Scale add cloud storage. Browser-only storage does not make hosted or own-key AI inference local.
AI settings show provider trust metadata. Policy controls can restrict provider selection by training policy or data-residency label. On Starter, Pro, and Scale, the signed companion can route inference to a local model. Local Ollama inference runs on your computer; account and workspace features remain hosted.
The team
Dynamite Docs was founded by Shivam and is based in Maharashtra, India. We are a small team of accounting professionals and developers building a better way to work with business documents.
Have a question, an idea, or a workflow that takes too much time? Tell us what you are working on. We welcome feedback from the people using Dynamite Docs.
Windows
Ollama