Scripts/PDF QA Agent
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PDF QA Agent

Chat with PDFs at scale. Citations, sources, eval.

4.9 (11.200) 11.2k booked v2.0 · updated recently
Starting from$49

Final price depends on your requirements, integrations and timeline.

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Tailored to your stack · NDA available
Python
PDF QA Agent
v2.0 · MIT

Overview

PDF QA Agent is a document intelligence solution for teams that need conversational access to large volumes of PDF content. A full workflow for document ingestion, retrieval, citation-aware answer generation, and source-grounded interaction across reports, manuals, policies, contracts, research papers, and internal documentation. Useful for legal teams, research organizations, compliance departments, education products, support teams, and enterprise knowledge platforms.

Common use cases

Policy assistantsContract reviewKnowledge base searchInvestor researchTraining portalsAcademic readingDue diligence

What's inside

  • Tailored to your stack
    Built around your chosen language, framework, providers and deployment target.
  • Production-ready patterns
    Streaming, retries, observability and guardrails baked in for real traffic.
  • Multi-provider ready
    Swap between OpenAI, Anthropic, Mistral, Azure or local models with one config.
  • Deployment recipes
    Drop-in guides for Vercel, Fly.io, Cloudflare Workers, Docker and Kubernetes.
  • Docs, tests & example app
    Comprehensive docs, integration tests and a reference app to learn from.
  • Priority implementation support
    Direct help from the team that built it during integration and rollout.

Why developers love it

Fast
Streaming responses and low-latency patterns out of the box.
Readable
Idiomatic, well-commented code your team can own.
Safe
Input validation, retries and cost guardrails included.
Product Preview · Website & Mobile App

See PDF QA Agent in Action

A real admin console for your team and a native companion for your users — this is what a production deployment of PDF QA Agent looks like day one.

🔒 scriptstore.app/pdf-qa-agent/dashboard
PDF QA
Documents
Chat
Citations
Evals
alex@studio
Chat · Master Services Agreement.pdf
48 pagescitedgpt-4o
Page 12 of 48
7. LIMITATION OF LIABILITY

Neither party's total aggregate liability arising out of or in connection with this Agreement shall exceed the greater of (a) the fees paid by Customer to Provider under this Agreement in the twelve (12) months preceding the event giving rise to the claim, or (b) one hundred thousand US dollars ($100,000)…

§7.1 highlighted
U
What's the liability cap in this MSA?
AI
Aggregate liability is capped at the greater of (a) fees paid in the prior 12 months or (b) $100,000. See §7.1, p.12.
U
Any carve-outs?
AI
Yes — the cap does not apply to breaches of confidentiality, IP indemnity, or willful misconduct (§7.3, p.13).
Sources: §7.1 p.12 · §7.3 p.13
Python · Web console
Dashboard — your team's control room.
9:41●●●●􀛨􀺶
MSA.pdf
48 pages · cited
Liability cap?
AI
Aggregate cap = greater of (a) fees in prior 12 months, or (b) $100k. §7.1 p.12.
Carve-outs?
AI
Confidentiality, IP indemnity, willful misconduct (§7.3 p.13).
Tap §7.1 to open page 12 →
Chat
Pages
Notes
Me
Native mobile app
iOS + Android · tap-first companion.
More web screens

Every screen your team needs

🔒 scriptstore.app/pdf-qa-agent/analytics
PDF QA
Docs
Analytics
Queries
Citations
Vault
Team
alex@studio
PDF QA · analytics
Last 30dBy docExport
Docs indexed
12,412
▲ 640
Pages indexed
1.24M
▲ 72k
Cited answers
98%
▲ 1
Avg citations
3.2 / answer
▲ 0.2
Queries / hour
24h7d30d
Top documents
MSA-Contoso.pdf812 queries
Privacy-policy-v4.pdf612
Whitepaper-2025.pdf410
Handbook-eng.pdf312
Analytics
Docs indexed, citations & query volume.
🔒 scriptstore.app/pdf-qa-agent/knowledge
PDF QA
Overview
Doc library
Vaults
Prompts
API
Team
alex@studio
PDF QA · document library
SearchUpload PDF
Categories
Contracts
Policies
Whitepapers
Handbooks
Research
Tags
contractpolicyclausecitationsigned
MSA · Contoso · 48 pages
Contract · signed 2025-06-12 · updated 1d ago
SignedRAG
Privacy policy v4 · 22 pages
Policy · v4 · updated 2d ago
PolicyRAG
Q3 whitepaper · 34 pages
Whitepaper · updated 3d ago
WPRAG
Engineering handbook · 128 pages
Handbook · updated 4d ago
HandbookRAG
Research · pricing elasticity
Research · 62 pages · updated 5d ago
ResearchRAG
Library
Document library with sources.
More mobile screens

On-the-go companion

9:41●●●●􀛨􀺶
Recent Q&A
142 today · 98% cited
"Liability cap?" · MSA-Contoso
answered · §7.1 p.12 · 2m ago
cite
"Data retention?" · Privacy v4
answered · §4.3 p.7 · 6m ago
cite
"Renewal terms?" · MSA-Contoso
answered · §11 p.18 · 11m ago
cite
"On-call policy?" · Handbook
answered · p.42 · 18m ago
cite
"Model of study?" · Research
answered · p.4 · 22m ago
cite
Q&A
Docs
Alerts
Me
activity
9:41●●●●􀛨􀺶
Search documents
PDF QA
🔍 Ask across your PDFs…
contractspoliciesclausescitations
MSA · Contoso · liability cap
§7.1 p.12 · score 0.96
Privacy · data retention
§4.3 p.7 · score 0.93
Handbook · on-call policy
p.42 · score 0.89
Whitepaper · methodology
p.4 · score 0.85
Home
Search
Alerts
Me
search
9:41●●●●􀛨􀺶
Account
PDF QA · settings
Aisha Rahman
Legal ops · Pro plan
New doc uploads
Uncited answers
Weekly usage digest
Citations required
Q&A this month
1,842 / 5,000
Q&A
Docs
Alerts
Me
profile