Prodigy Recipes vs ScreenplayIQ
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Prodigy Recipes | ScreenplayIQ |
|---|---|---|
| Best For | NLP engineers, data scientists, teams needing custom annotation tool | Screenwriters, producers, studio executives needing script marketability analysis |
| Key Feature | Self-hosted annotation for ML with active learning | Box office performance prediction from narrative structure |
| Integrations | spaCy, DSPy, Modal, Hugging Face, MySQL | PitchTrailer |
| Data Privacy | Self-hosted, no data leaves your machines | Not specified |
| Collaboration | Task routing but no built-in real-time multi-user collab | Up to 5 users (Studio plan) |
ScreenplayIQ and Prodigy Recipes serve completely different purposes. ScreenplayIQ is for screenwriters and producers who want to predict box office returns and get structural feedback on feature scripts. Prodigy Recipes is for NLP engineers and data scientists who need a self-hosted annotation tool to build custom ML datasets. Choose based on your domain: creative writing vs. machine learning data preparation.
A downloadable Python annotation tool and web app you run yourself to build training and evaluation data for custom AI, ML and NLP models.
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AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes
Visit WebsiteWho should pick which
- Screenwriter seeking market feedbackPick: ScreenplayIQ
ScreenplayIQ provides data-driven analysis of narrative structure and box office potential, helping writers refine scripts for commercial success.
- NLP engineer building custom NER modelPick: Prodigy Recipes
Prodigy Recipes offers pre-built NER workflows, active learning, and local deployment to create high-quality training data without external data leakage.
- Studio executive evaluating script slatePick: ScreenplayIQ
The tool's predictive analytics and comparative market data aid in selecting scripts with highest commercial potential.
- Data scientist creating domain-specific datasetPick: Prodigy Recipes
Custom recipe scripts and integrations with spaCy/Hugging Face allow flexible annotation for specialized ML tasks.
Frequently Asked Questions
Prodigy Recipes vs ScreenplayIQ: which should you choose?
ScreenplayIQ and Prodigy Recipes serve completely different purposes. ScreenplayIQ is for screenwriters and producers who want to predict box office returns and get structural feedback on feature scripts. Prodigy Recipes is for NLP engineers and data scientists who need a self-hosted annotation tool to build custom ML datasets. Choose based on your domain: creative writing vs. machine learning data preparation.
Can ScreenplayIQ analyze TV scripts or short films?
No, it is specifically designed for feature films only and does not support TV writing or short films.
Is Prodigy Recipes free to use?
No, it is a paid tool with a lifetime license (purchase once, free updates for a set period; then optional renewable update packs). There is no free tier.
Does ScreenplayIQ provide line-by-line grammar editing?
No, it focuses on narrative structure and marketability, not grammar checking.
Can Prodigy Recipes run offline?
Yes, it is self-hosted and runs on your local machines, meaning no data leaves your environment and no internet connection is required for annotation.
What integrations does ScreenplayIQ support?
It integrates with PitchTrailer for generating pitch decks.
What integrations does Prodigy Recipes support?
It integrates with spaCy, DSPy, Modal, Hugging Face, and MySQL.
Does ScreenplayIQ offer a collaborative workspace?
Yes, the Studio plan ($49/mo) supports up to 5 users collaborating on the same workspace.
Does Prodigy Recipes support real-time collaboration?
No, it does not have built-in real-time multi-user collaboration, though task routing is available.
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Last reviewed: July 6, 2026