About Dynamite Docs
About Dynamite Docs
Start with
Sample supplier invoice
Work toward
Invoice to reviewed rows
Illustrative source
Sample supplier invoice
- Invoice reference
- INV-042
- Line item
- Notebooks · 2 × $6.00
- Line amount
- $12.00
Reuse corrected structure. Read and review fresh values in each new document.
We help accountants, bookkeepers, and small businesses turn everyday documents into data they can check and use.
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.
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.
Based in a small city in Maharashtra, India.
Part of NVIDIA Inception Program
The NVIDIA Inception program supports technology startups with developer resources, training, and opportunities to connect with the startup ecosystem.
We build tools for the document work we know: extracting fields, checking them against the source, and sending reviewed data to the next step.
About the team
Dynamite Docs is built by a small team of accounting professionals and developers founded by Shivam. We are based in a small city in Maharashtra, India.
Built around checking the source.
Document extraction is only as good as the review step. If you cannot see where a value came from and correct it beside the original, AI speed turns into spreadsheet cleanup.
We're a small team of accounting professionals and developers, based in a small city in Maharashtra, India.
We kept seeing the same gap: raw OCR returned text, fixed templates needed maintenance, and one-off chat answers still had to be copied into a spreadsheet.
The missing workflow was source review. Someone needed to see the document beside editable fields and rows, correct mistakes, and keep the accepted structure for the next similar file.
That is the job Dynamite Docs is built around. It proposes fields and tables, keeps the source visible, saves confirmed corrections as patterns, and exports the result a reviewer accepted.
The product supports one-file trials, recurring batches, hosted or own-key providers, local Ollama inference, and delivery through spreadsheets, APIs, and webhooks.
A path to GPU inference
We want teams to run document models on hardware they control.
Built on our existing provider routing, custom endpoints, and local Ollama inference.
Explore local inference today
Local models on RTX
Text and vision models on your Windows PC, using an NVIDIA RTX GPU and the Ollama Companion.
Windows
Ollama
Self-hosted NIM endpoints
Document models on infrastructure your team manages, connected through NVIDIA NIM endpoints.
© 2025 NVIDIA, the NVIDIA logo, and Inception are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.
Start with a document you know. Extract its fields, compare the results with the original, and see how the review fits your work.
Try Dynamite Docs free; no payment details needed.
Start with
Sample supplier invoice
Work toward
Invoice to reviewed rows
- 01Infer fields and rows
- 02Correct beside the source
- 03Remember column names
Start with
Sample supplier invoice
Work toward
Invoice to reviewed rows
Illustrative source
Sample supplier invoice
- Invoice reference
- INV-042
- Line item
- Notebooks · 2 × $6.00
- Line amount
- $12.00
Reuse corrected structure. Read and review fresh values in each new document.