DocImprint Document Intelligence
FreeNot checkedVerifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and tra
About
Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC
README
Document memory agents can prove.
PDFs & URLs → cited answers · evidence bundles · on-chain attestation
Table of contents
- At a glance
- Choose your integration
- See what you get
- How it works
- Why not plain OCR or RAG?
- Use cases
- Install
- Quick start
- Features
- Why DocImprint?
- Agent-native features
- CrewAI integration
- MCP server
- API reference
- Error handling
- Authentication
- TypeScript
- Pricing
- Community
- Links
At a glance
DocImprint turns any PDF or URL into a tamper-evident evidence bundle — structured data, AI-cited answers, and a cryptographic proof your agents can verify independently.
| Input | PDF or URL |
| Output | ev_... evidence bundle — cited answers, artifact hashes, EIP-191 signature |
| Verify | client.verify() — free, no auth; optional Base L2 notarization via EAS |
Choose your integration
| Path | Best for | Start here |
|---|---|---|
| TypeScript SDK | Node agents, typed apps | Quick start |
| Python SDK | CrewAI, scripts | Quick start · CrewAI |
| MCP server | Claude, Cursor | MCP server |
| x402 USDC | Autonomous agents, no account | x402 USDC payments |
See what you get
Every response includes a verifiable bundle ID, manifest hash, and cited answers tied to exact source quotes.
{
"bundle_id": "ev_01jqv8k3m2x",
"manifest_sha256": "a3f2c1d8e9b0476f8a2b1c0d9e8f7a6b5c4d3e2f1a0b9c8d7e6f5a4b3c2d1e0f",
"signature": {
"signature": "0x8f4e2a1b9c3d5e7f0a2b4c6d8e0f1a3b5c7d9e1f3a5b7c9d1e3f5a7b9c1d3e5f71c",
"signer_address": "0x742d35Cc6634C0532925a3b844Bc9e7595f0EbE",
"algorithm": "secp256k1-eip191"
},
"answer_cited": {
"value": "Section 4.2 does not permit unilateral termination without 90 days written notice.",
"citations": [
{
"quote": "Neither party may terminate this Agreement unilaterally except upon ninety (90) days prior written notice to the other party.",
"paragraphs": [42],
"page": 4,
"confidence": "high"
}
]
},
"artifacts": {
"markdown": { "sha256": "b4e5f6a79876543210fedcba9876543210fedcba9876543210fedcba9876543210ab" },
"manifest": { "sha256": "a3f2c1d8e9b0476f8a2b1c0d9e8f7a6b5c4d3e2f1a0b9c8d7e6f5a4b3c2d1e0f" }
}
}
How it works
flowchart LR
source[PDF or URL] --> extract[extract / qa / checkClaims]
extract --> bundle[Evidence bundle ev_...]
bundle --> artifacts[Artifacts + manifest SHA-256]
bundle --> citations[Cited answers with quotes]
artifacts --> verify[verify - free]
verify --> notarize[notarize on Base L2 - optional]
Why not plain OCR or RAG?
| Plain OCR | Vector RAG | DocImprint | |
|---|---|---|---|
| Exact source quotes | No | Approximate | Yes, with paragraph refs |
| Tamper evidence | No | No | SHA-256 manifest + EIP-191 sig |
| Independent verify | No | No | verify() without API key |
| On-chain attestation | No | No | EAS on Base L2 |
| Agent audit trail | No | No | Provenance + handoff (Python) |
Use cases
| Scenario | Method | Result |
|---|---|---|
| Contract Q&A | client.qa() |
Cited answer with confidence score |
| Claim verification | client.checkClaims() |
Per-claim verdict: supported / contradicted / not_found |
| Invoice intake | client.extract({ mode: 'invoice' }) |
Structured merchant, line items, totals — all cited |
| Compliance archive | legal_hold: true + notarize() |
Immutable on-chain record, deletion blocked |
Install
npm install docimprint # TypeScript / Node.js
pip install docimprint # Python REST client
pip install "docimprint[crewai]" # + 10 CrewAI tools & ProvenanceTracker
Python source lives in python/. PyPI: docimprint.
Quick start
Get an API key at docimprint.com — free tier available, no credit card required.
TypeScript
import { DocImprintClient } from 'docimprint'
const client = new DocImprintClient({ apiKey: 'dr_live_...' })
const result = await client.extract({
source: 'https://example.com/contract.pdf',
include: ['markdown', 'summary'],
})
console.log(result.bundle_id) // ev_01j...
console.log(result.summary) // AI-generated summary
console.log(result.manifest_sha256) // tamper-evident hash
console.log(result.key_points_cited[0].citations[0].quote)
Python
from docimprint import DocImprintClient
client = DocImprintClient(api_key="dr_live_...")
result = client.extract(
url="https://example.com/contract.pdf",
include=["markdown", "summary"],
)
print(result["bundle_id"]) # ev_01j...
print(result["summary"]) # AI-generated summary
print(result["manifest_sha256"]) # tamper-evident hash
REST API (cURL)
curl -X POST https://api.docimprint.com/v1/extract \
-H "Authorization: Bearer dr_live_..." \
-H "Content-Type: application/json" \
-d '{"source": "https://example.com/contract.pdf", "include": ["markdown", "summary"]}'
Features
| Capability | Method / Mode | Description |
|---|---|---|
| Extract | extract() |
Full evidence bundle — markdown, summary, cited key points, artifacts, manifest SHA-256 |
| Invoice parsing | mode: 'invoice' |
Structured InvoiceResult: merchant, date, line items, subtotal, tax, total — all with citations |
| Document comparison | mode: 'compare' |
Diff two documents; supply previous_bundle_id to track changes |
| Structured extraction | mode: 'extract-structured' |
Extract typed fields using a caller-defined JSON Schema |
| Summarize | summarize() |
Prose summary + key points, each with cited paragraph references |
| Q&A | qa() |
Single-question answer with inline citations and confidence score |
| Claim-check | checkClaims() |
Per-claim verdict: supported / contradicted / not_found with evidence quotes |
| Translate | translate() |
Source-cited translation to any language |
| Describe | describe() |
AI description of image or PDF page contents |
| Collections | createCollection() + searchCollection() + askCollection() |
Semantic search + cross-document RAG Q&A across multiple bundles |
| Verify | verify() |
Cryptographic integrity check — manifest hash, EIP-191 signature, artifact hashes. Free, no auth |
| Notarize | notarize() |
Write manifest SHA-256 to Base L2 via EAS — permanent, immutable attestation |
| MCP server | 20 tools · 2 prompts | Native MCP for Claude, Cursor, and any MCP-compatible client |
| x402 | REST X-Payment header |
Pay per call in USDC — no account required |
Why DocImprint?
- 🔏 Cryptographic provenance — every bundle is EIP-191 signed at creation; optionally notarized on Base L2 via EAS for an immutable on-chain audit trail
- 🤖 Agent-native by design — async jobs, webhooks, idempotency keys, and legal hold built into every request, not bolted on
- 📎 Beyond OCR — citations carry exact quotes, paragraph indices, and confidence scores (
high/medium/low), not just raw text - 🛠️ 10 CrewAI tools out of the box —
research_tools(),legal_tools(),collection_tools()pre-grouped for common agent workflows - ⚖️ Compliance-ready —
legal_hold, provenance logging, multi-agent handoff tracking, and on-chain notarization designed for legal and regulated industries - 💳 Flexible payment — monthly credit plans or pay-per-call USDC via x402, no account required
Agent-native features
DocImprint is designed for autonomous agent workflows, not just synchronous API calls.
// Fire-and-forget async extraction — returns job_id immediately
const job = await client.extract({
source: 'https://example.com/large-report.pdf',
async: true,
webhook: 'https://your-agent.io/callback',
idempotency_key: 'report-2025-q4',
legal_hold: true,
})
const status = await client.getJob(job.job_id)
// { status: 'complete', bundle_id: 'ev_...', progress_pct: 100 }
// Monitor a URL for changes — get notified on diff
await client.extract({
source: 'https://example.com/terms.html',
monitor: { webhook: 'https://your-agent.io/changes', mode: 'diff' },
})
Python: provenance & multi-agent handoff tracking
client.log_provenance(bundle_id="ev_...", agent_id="agent-research", action="extracted")
client.handoff(bundle_id="ev_...", from_agent="agent-research", to_agent="agent-legal", note="ready for claim check")
CrewAI integration
10 purpose-built tools for CrewAI agents, organized into preset groups.
from docimprint.crewai import DocImprintToolkit
toolkit = DocImprintToolkit(
api_key="dr_live_...",
collection_id="col_...", # required for collection tools
)
toolkit.research_tools() # extract, summarize, qa, check_claims
toolkit.legal_tools() # check_claims, verify, notarize
toolkit.collection_tools() # search, ask, add_to_collection
toolkit.all_tools() # all 10 tools
| Tool | What it does |
|---|---|
ExtractEvidenceTool |
Full evidence bundle with citations and manifest hash |
SummarizeTool |
Key points with cited paragraph references |
QATool |
Cited answer with confidence score |
CheckClaimsTool |
Per-claim verdict: supported / contradicted / not_found |
TranslateTool |
Source-cited translation |
VerifyBundleTool |
Cryptographic integrity check — manifest, hash, signature |
NotarizeTool |
On-chain EAS attestation on Base L2 |
SearchCollectionTool |
Semantic vector search across document collection |
AskCollectionTool |
Cross-document RAG Q&A with cited sources |
AddToCollectionTool |
Add bundle to collection and trigger async indexing |
ProvenanceTracker wraps all tools to automatically log agent actions and bundle handoffs.
from docimprint.crewai import DocImprintToolkit, ProvenanceTracker
tracker = ProvenanceTracker(client=toolkit.client)
trackable = toolkit.trackable_tools()
DocImprintKnowledgeSource integrates with CrewAI's knowledge system for retrieval-augmented agents.
MCP server
DocImprint exposes a native MCP server for use with Claude, Cursor, and any MCP-compatible client.
Install via Smithery (one command):
npx @smithery/cli install docimprint --client claude
Manual config:
{
"mcpServers": {
"docimprint": {
"type": "streamable-http",
"url": "https://api.docimprint.com/mcp",
"headers": {
"Authorization": "Bearer dr_live_..."
}
}
}
}
Transport: streamable-http · Auth: Bearer token · Listed on Smithery · Listed on Glama
MCP tools
URL tools — lean mode, no bundle stored:
| Tool | Description |
|---|---|
extract_url |
Fetch URL → text + metadata |
summarize_url |
Fetch URL → prose summary + key points |
qa_url |
Fetch URL → cited answer to a specific question |
translate_url |
Fetch URL → translated content |
Document tools — accepts base64 PDF or image:
| Tool | Description |
|---|---|
extract_text |
OCR plain text from PDF / image |
extract_tables |
OCR tables as Markdown from PDF / image |
parse_invoice |
Structured invoice fields: merchant, line items, totals + citations |
summarize_document |
Prose summary + cited key points |
check_claims |
Per-claim verdict with evidence quotes |
extract_structured |
Extract typed fields using a caller-defined schema |
Bundle & collections:
| Tool | Description |
|---|---|
verify_bundle |
Cryptographic integrity check |
get_bundle |
Bundle metadata and notarization status |
notarize_bundle |
On-chain EAS attestation on Base L2 |
create_collection |
Create a named document collection |
list_collections |
List your collections |
add_document_to_collection |
Add bundle + trigger async indexing |
search_collection |
Semantic vector search |
ask_collection |
Cross-document RAG Q&A |
get_job_status |
Poll async job (extract, indexing, batch) |
get_quota |
Check credit balance and plan status |
Guided prompts: claim_check_workflow · invoice_intake
Resource: bundle://{bundle_id} — read bundle metadata directly
API reference
Full typed reference: docimprint.com/docs · OpenAPI
| Category | Methods |
|---|---|
| Core | extract, verify, download, notarize, deleteBundle |
| Focused | summarize, qa, translate, checkClaims, describe |
| Extract modes | invoice, extract-structured, compare, store: false (lean) |
| Collections | createCollection, listCollections, addToCollection, searchCollection, askCollection |
| Jobs | getJob, listJobs, getQuota |
Error handling
import { DocImprintClient, DocImprintError } from 'docimprint'
try {
const result = await client.extract({ source: 'https://example.com/doc.pdf' })
} catch (err) {
if (err instanceof DocImprintError) {
console.error(err.message) // human-readable error
console.error(err.status) // HTTP status code
console.error(err.requestId) // x-request-id for support
}
}
Authentication
API key
Monthly credits via Stripe — sign up at docimprint.com, free tier available:
const client = new DocImprintClient({ apiKey: 'dr_live_...' })
x402 USDC payments
DocImprint supports the x402 open standard — pay per call in USDC on Base, straight from any EVM wallet. No account. No sign-up. No API key. Your agent can call the API autonomously without any human-managed credentials.
The API is x402-native: it returns a standard 402 Payment Required response with on-chain payment details, your client settles in USDC, and the request completes automatically. From $0.01 / call.
With @x402/fetch (automatic payment handling):
import { wrapFetchWithPayment } from '@x402/fetch'
import { createWalletClient, http } from 'viem'
import { privateKeyToAccount } from 'viem/accounts'
import { base } from 'viem/chains'
const account = privateKeyToAccount('0x...')
const wallet = createWalletClient({ account, chain: base, transport: http() })
const fetchWithPayment = wrapFetchWithPayment(fetch, wallet)
const res = await fetchWithPayment('https://api.docimprint.com/v1/summarize', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ source: 'https://example.com/report.pdf' }),
})
const data = await res.json()
Identity on owner routes: For GET/DELETE operations that require ownership (e.g. fetching your bundle), pass the payment-signature header from a prior payment response so the API can verify your wallet address without a separate login.
TypeScript
All request and response types are exported:
import type {
ExtractRequest,
ExtractResponse,
Citation,
CitedField,
InvoiceResult,
Job,
Collection,
SearchResult,
} from 'docimprint'
Pricing
Free tier available — no credit card required. Monthly credit plans via Stripe, or pay per call in USDC via x402. See pricing →
Community
Questions, integrations, and announcements: GitHub Discussions.
Links
Install DocImprint Document Intelligence in Claude Desktop, Claude Code & Cursor
unyly install docimprint-document-intelligenceInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add docimprint-document-intelligence -- npx -y docimprintFAQ
Is DocImprint Document Intelligence MCP free?
Yes, DocImprint Document Intelligence MCP is free — one-click install via Unyly at no cost.
Does DocImprint Document Intelligence need an API key?
No, DocImprint Document Intelligence runs without API keys or environment variables.
Is DocImprint Document Intelligence hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install DocImprint Document Intelligence in Claude Desktop, Claude Code or Cursor?
Open DocImprint Document Intelligence on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare DocImprint Document Intelligence with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
