Contextgem 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

DimensionContextgemScreenplayIQ
Target UserDevelopers, data scientists, researchersScreenwriters, producers, studio executives
Core FunctionStructured data extraction from documents via LLMsAI screenplay analysis with box office prediction
IntegrationsNone listedPitchTrailer
CollaborationNot mentionedUp to 5 users on Studio plan
API AccessFramework itself, no separate APIYes on Studio plan

If you're a screenwriter or producer needing data-driven script feedback and box office forecasts, ScreenplayIQ is purpose-built for you with its genre analysis, pacing heatmaps, and PitchTrailer integration. For developers and data scientists automating extraction from contracts or reports, Contextgem's free, open-source Python framework offers declarative aspect and concept extraction across multiple LLMs. Choose based on your domain: film industry analytics vs. document processing pipelines.

Contextgem
Contextgem

Free, open-source Python framework for extracting structured data from documents using LLMs and decision models with minimal code

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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
Free
Paid
Plans
—
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPI
Categories
📑 Document AI & Data Extraction📦 LLM App Frameworks & SDKs
📖 Fiction & Screenwriting
Features
Aspects API for extracting document sections such as clauses, chapters and terms
Typed Concepts API for structured extraction and inference
Concept types: StringConcept, BooleanConcept, NumericalConcept, DateConcept, RatingConcept, JsonObjectConcept, LabelConcept
Decision models (new in 1.0) for closed questions, returning probabilities instead of generated text
Boolean, label and rating concepts and aspects extractable with decision models
Extraction pipelines combining aspects and concepts for reuse across many files
Document creation and configuration for extraction targets
Cloud LLM provider support
Local LLM support for offline or privacy-preserving extraction
Per-job LLM configuration
Extraction Methods and Chat with Tools advanced usage
Cost tracking via get_usage() and get_cost(), with auto_pricing using genai-prices or ModelPricing
Serialization and deserialization of ContextGem objects and results
Optimization guide covering accuracy, speed, cost and long documents
Troubleshooting guidance for issues with small models
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

What real users say: Contextgem 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.

Contextgem

30 mentions across 5 sources · 70% positive (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, Bluesky, GitHub

What users praise

  • • Minimal code required — cuts development time by 3-5x.
  • • Supports both cloud LLMs (OpenAI, Anthropic) and local models.
  • • Declarative API for aspects and concepts is very intuitive.
  • • Free and open-source with permissive license.

What frustrates them

  • • Local LLMs frequently return invalid JSON causing extraction failures.
  • • Concurrency feature blocks completely after any error.
  • • Timeouts with smaller local models like deepseek-r1:8b.
  • • Windows installation may fail due to encoding issues.

Researched Jul 14, 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

  • Feature film screenwriter
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural analysis, beat sheets, pacing heatmaps, and box office predictions tailored to feature films, directly addressing a screenwriter's need for marketable script feedback.

  • Studio executive evaluating scripts
    Pick: ScreenplayIQ

    With comparative market data, genre classification, and collaborative workspace (Studio plan), ScreenplayIQ supports slate decisions and team evaluation.

  • Developer automating contract data extraction
    Pick: Contextgem

    Contextgem's declarative Python framework enables typed concept extraction from documents using any LLM, ideal for scalable, customizable pipelines.

  • Data scientist extracting structured data from research papers
    Pick: Contextgem

    Contextgem supports configurable aspects and concepts for precise extraction, with optimization for long documents and local models for sensitive data.

Frequently Asked Questions

Contextgem vs ScreenplayIQ: which should you choose?

If you're a screenwriter or producer needing data-driven script feedback and box office forecasts, ScreenplayIQ is purpose-built for you with its genre analysis, pacing heatmaps, and PitchTrailer integration. For developers and data scientists automating extraction from contracts or reports, Contextgem's free, open-source Python framework offers declarative aspect and concept extraction across multiple LLMs. Choose based on your domain: film industry analytics vs. document processing pipelines.

Does ScreenplayIQ support TV scripts or short films?

No, it is designed for feature films only.

Can I use Contextgem without coding?

No, it requires Python programming. It is not a no-code tool.

What integrations does ScreenplayIQ offer?

It integrates with PitchTrailer for generating pitch decks.

Does Contextgem provide built-in UI or dashboard?

No, it is a framework without a user interface.

Can ScreenplayIQ handle scripts over 150 pages?

No, there is a context window limitation for scripts over 150 pages.

Does Contextgem support real-time document processing?

No, it is designed for batch processing, not real-time streams.

What file formats does ScreenplayIQ accept?

The data does not specify; likely standard screenplay formats.

Can I use local LLMs with Contextgem?

Yes, it supports local models for offline or privacy-preserving extraction.

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Last reviewed: July 8, 2026