StoryFit
AI story intelligence that extracts the data DNA of scripts and manuscripts.
About
StoryFit turns stories into data. Its platform runs machine learning and natural language processing over scripts and manuscripts to produce what it calls the story's DNA: a dataset covering structure, plot elements, character dynamics, emotional depth, settings, and themes, derived from analysis of over 100,000 story components. Writers and publishers use those insights to make creative decisions, while the book side of the product analyzes manuscript catalogs and generates keyword reports that sharpen book listings and drive discoverability.
It spans the full lifecycle from development through marketing and distribution, which positions it as decision support for storytellers rather than a writing tool per se. Pricing is not published and the product is sold as an enterprise platform, so it is best suited to studios, publishers, and teams with a catalog to analyze. The concept is compelling for data-minded creatives, though as with all predictive story tools, the value of the insights rests on the vendor's models and cannot be independently validated from outside.
What it can do
- Story DNA extraction: structure, plot, characters, emotion, setting, theme
- Analysis of 100,000+ story components as a reference corpus
- Manuscript catalog analysis with keyword reports for book listings
- Covers development through marketing and distribution
- API access for platform integrations
Setup
- Contact StoryFit at storyfit.com for a demo.
- Upload scripts or manuscript catalogs for automated analysis.
- Review the story-DNA dataset and keyword reports.
- Apply insights to development, listings, and marketing.
Prerequisites
Use cases
Works with
Trust score — 5/10
Scored 5/10 (TIER metrics, metrics-v1). Evidence: live AI story-intelligence platform with a documented story-DNA concept (100k+ story components) and book-manuscript analysis features, described consistently across third-party directories. Strengths: distinctive data-driven approach, covers books and scripts, enterprise positioning. Docked for: (1) pricing not published and no self-serve trial — enterprise sales motion with limited public validation; (2) insight-quality claims are provider-sourced with little independent coverage. License: proprietary (enterprise SaaS).
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 5.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Manual review · sanity read + red-flag check
- 5.0/10
- · story-DNA dataset from 100k+ story components
- · manuscript catalog analysis + keyword reports for listings
- · enterprise sales motion, no self-serve trial
- · limited independent coverage
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.