Unstract vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionUnstractScreenplayIQ
Primary Use CaseDocument data extraction from unstructured PDFs/imagesScreenplay analysis & box office prediction
Core TechnologyMulti-agent LLM extraction, LLMWhisperer OCR, Agentic Prompt StudioAI narrative analysis, market data comparison, beat sheet generation
Target AudienceDevelopers & data engineers in finance, insurance, healthcareScreenwriters, producers, studio executives
DeploymentManaged cloud, on-premise, open-sourceCloud SaaS only
Latest News2026: Multi-agent table extraction, LLMWhisperer OCR for complex formsNo recent news

Choose Unstract if you need to extract structured data from messy business documents at scale — its multi-agent OCR and prompt studio dominate complex tables and handwriting. Choose ScreenplayIQ if you write feature films and want quantitative market feedback on a script's box office potential. They serve completely different jobs, so let your actual problem (document processing vs. screenplay evaluation) guide the decision.

Try UnstractTry ScreenplayIQ
Unstract
Unstract

Unstract is open-source, agentic document extraction that turns any PDF, scan, or form into structured JSON — no templates, no prior

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that returns a logline, comps, character arcs, and proofed fixes on your draft

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Pricing
Freemium
Paid
Plans
$499/mo
$416/mo billed annually
$2,249/mo
$1,874/mo billed annually
Custom
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPI
Categories
📑 Document AI & Data Extraction
📖 Fiction & Screenwriting
Features
Prompt Studio for building generic extraction prompts from sample documents
Agentic Prompt Studio auto-generates schema, prompts and accuracy validation
Agentic Table Extractor for complex multi-column tables
LLMChallenge runs two LLMs per field and returns a value only on consensus
Single Pass and Summarized Extraction cut token usage by up to 7x
Human-in-the-Loop review with routing by confidence threshold, amount, document type or customer name
LLMWhisperer layout-preserving OCR for multi-column layouts and dense tables
Unicode table borders that make borderless tables unambiguous for an LLM
Checkbox and radio button detection converted into reliable text
Handwriting detection and automatic correction of sideways pages
Multiple selectable OCR engines for different document quality
Layout, text or text-dump extraction modes via MCP or CLI
Unstract MCP Server and LLMWhisperer MCP Server for agent integration
Flow compiles plain-language process descriptions into a versioned, auditable execution graph
Agentic Process Mining explorer agents learn a process across browsers, SSH and mainframes
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market framing
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
Slack

What real users say: Unstract vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Unstract

50 mentions across 2 sources · 73% positive (averaged across 2 sources)

Hacker News, YouTube

What users praise

  • • Handles variable documents without templates, adapting to any layout.
  • • LLMChallenge reduces hallucinations by requiring two LLMs to agree.
  • • Token usage cut by up to 7x with Single Pass and Summarized modes.
  • • LLMWhisperer preserves layout, great for complex tables and handwritten notes.

What frustrates them

  • • Learning curve for crafting effective prompts in Prompt Studio.
  • • Onboarding requires setting up your own LLM and vector DB after trial.
  • • Scale-out questions unanswered: 300 docs at once? Unclear capacity.
  • • Sensitive data handling unclear, lacking transparent compliance guarantees.

Researched Aug 17, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “ScreenplayIQ”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Finance data engineer
    Pick: Unstract

    Needs to extract data from thousands of invoices and bank statements; Unstract's multi-agent table extraction and LLMWhisperer OCR handle layouts and handwriting without templates.

  • Screenwriter seeking script feedback
    Pick: ScreenplayIQ

    Wants quantitative analysis of narrative structure and marketability; ScreenplayIQ provides beat sheets, pacing heatmaps, and box office prediction.

  • Insurance document processing team
    Pick: Unstract

    Requires accurate extraction from complex forms with compliance needs; Unstract's on-premise deployment and Human-in-the-Loop verification ensure data sovereignty and accuracy.

  • Studio executive evaluating scripts
    Pick: ScreenplayIQ

    Needs data-driven box office forecasts for slate decisions; ScreenplayIQ's comparative market data and genre classification support this.

  • Developer building document pipeline
    Pick: Unstract

    Prefers API-first, open-source tools with MCP Server integration; Unstract's Agentic Prompt Studio and BYO keys fit into existing stacks.

Frequently Asked Questions

Unstract vs ScreenplayIQ: which should you choose?

Choose Unstract if you need to extract structured data from messy business documents at scale — its multi-agent OCR and prompt studio dominate complex tables and handwriting. Choose ScreenplayIQ if you write feature films and want quantitative market feedback on a script's box office potential. They serve completely different jobs, so let your actual problem (document processing vs. screenplay evaluation) guide the decision.

Can Unstract handle handwritten text?

Yes, LLMWhisperer OCR includes handwritten text detection and checkbox/radio button detection, as highlighted in 2026 news.

Does ScreenplayIQ support TV scripts or short films?

No, it only supports English feature films; scripts over 150 pages have context window limitations.

Which tool offers on-premise deployment?

Unstract offers managed cloud, on-premise, and open-source deployment; ScreenplayIQ is cloud SaaS only.

How does Unstract reduce token usage?

Through Single Pass and Summarized Extraction modes, which can reduce token usage by up to 7x.

What is the Free tier of ScreenplayIQ?

It allows one analysis per month with limited features; Pro ($19/mo) offers unlimited analyses and market data.

Can I integrate Unstract with n8n?

Yes, Unstract provides an MCP Server for integration with stacks like n8n.

Does ScreenplayIQ generate pitch decks?

Yes, via PitchTrailer integration for pitch deck generation.

Which tool is better for table extraction?

Unstract, with its multi-agent table extraction (6 agents + codegen step) specifically designed for complex table layouts.

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Explore each tool further

Unstract
View Unstract reviewUnstract alternatives
ScreenplayIQ
View ScreenplayIQ reviewScreenplayIQ alternatives

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Last reviewed: July 3, 2026