Deepfabric vs ScreenplayIQ

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

Analysis generated Live tool data as of 2026-10-30
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Deepfabric or ScreenplayIQ: which should you choose?

DimensionDeepfabricScreenplayIQ
Target UserAI researchers, data engineers, developersScreenwriters, producers, studio executives
Key FeatureTopic graph generation, sandboxed tool executionBox office prediction, script heatmaps
IntegrationOpenAI, Anthropic, Google Gemini, OllamaPitchTrailer
LimitationNo GUI, requires programmingScripts over 150 pages not supported

ScreenplayIQ is for film professionals who need data-driven script analysis and market predictions; Deepfabric is for AI developers who need to generate custom synthetic datasets. Choose based on your domain: screenwriting vs. machine learning. Neither tool overlaps.

Deepfabric
Deepfabric

Generate LLM training datasets with DAG topic graphs and real sandboxed tool-calling traces

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ScreenplayIQ
ScreenplayIQ

ScreenplayIQ turns your screenplay into AI script coverage — logline, synopsis, character arc charts and proofreading, priced per script.

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Pricing
Free
Paid
Plans
Open Source (MIT)Free
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLI
WebAPI
Categories
🏷️ Data Labeling & Training Data
📖 Fiction & Screenwriting
Features
Topic graph (DAG) generation with configurable depth and degree
Tree mode as an alternative to graph mode for topic expansion
Three dataset types: basic Q&A, chain-of-thought reasoning, agent tool-calling
Chain-of-thought traces with freetext reasoning style
Sandboxed tool execution via the Spin framework
Virtual filesystem (VFS) component for tool runs
MCP server tools plus mock tools for agent datasets
Custom tool plugins via the import-tools command
Constrained decoding and strict output syntax validation
Multi-provider LLM support: OpenAI, Anthropic, Google Gemini, Ollama
Local Ollama generation with no API key required
CLI commands: generate, validate, visualize, evaluate, info, import-tools
Topic management via topic inspect and topic prune
YAML config files for reproducible generation pipelines
num-samples auto mode to generate one sample per topic path
Logline generated from your full screenplay draft
Similar films and TV shows surfaced for market framing
Structured story points broken out of the script
Full synopsis produced without reading the whole draft
Character synopses across the full cast
Visual representations of each character
Character emotional journey charts tracking arcs across the script
Full assessment analysis of the draft
Theme breakdowns
Proofread report covering all issues
Inline highlights on every flagged issue
Recommended fix attached to each flagged issue
Custom analysis package built outside the presets
Pricing by page length, quoted separately for TV and features
Encrypted, siloed storage with WGA-compliant handling, never used to train LLM models
Integrations
OpenAI
Anthropic
Google Gemini
Ollama
Spin
Hugging Face
Kaggle

Who should pick Deepfabric, and who should pick ScreenplayIQ?

  • Screenwriter
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural feedback and box office predictions to improve script marketability.

  • AI researcher
    Pick: Deepfabric

    Deepfabric enables generation of diverse synthetic datasets with real execution traces for LLM training.

  • Studio executive
    Pick: ScreenplayIQ

    Use ScreenplayIQ's comparative market data and box office predictions for slate decisions.

  • Data engineer
    Pick: Deepfabric

    Deepfabric's configurable workflows and multi-provider support suit domain-specific synthetic data generation.

  • Producer evaluating ROI
    Pick: ScreenplayIQ

    ScreenplayIQ's box office prediction and beat sheet help assess potential returns.

Frequently Asked Questions

Deepfabric vs ScreenplayIQ: which should you choose?

ScreenplayIQ is for film professionals who need data-driven script analysis and market predictions; Deepfabric is for AI developers who need to generate custom synthetic datasets. Choose based on your domain: screenwriting vs. machine learning. Neither tool overlaps.

Can I use Deepfabric to analyze a screenplay?

No. Deepfabric generates synthetic data for AI training; it does not analyze screenplays.

Does ScreenplayIQ support TV scripts?

No, ScreenplayIQ is for feature films only. TV writers need other tools.

Is Deepfabric completely free?

Yes, it's open-source. But you pay for LLM API calls from providers like OpenAI.

Does ScreenplayIQ require a subscription?

No, it's pay-per-analysis. Prices vary based on script length and add-ons.

Can Deepfabric generate datasets without coding?

No, it requires Python programming and command-line usage. There is no GUI.

What integrations does ScreenplayIQ have?

It integrates with PitchTrailer for generating pitch decks.

What AI models does Deepfabric support?

OpenAI, Anthropic, Google Gemini, and Ollama.

Is there a demo for ScreenplayIQ?

Not mentioned. It offers paid analysis with no free tier.

What else are Deepfabric and ScreenplayIQ compared with?

Where can you read more about Deepfabric and ScreenplayIQ?

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