Texthero vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionTextheroScreenplayIQ
TypeFree open-source Python NLP libraryPaid AI screenplay analysis service
Pricing modelFree (MIT license)Per script, page-length based
Core outputClean text, TF-IDF vectors, PCA scatterplots, NER, top wordsLoglines, synopses, comparable titles, character charts, story points
Who it's forPython beginners and data scientists doing exploratory NLPScreenwriters, producers, directors, agents, executives
Add-onsNone — frozen feature set of the libraryProofread add-on with inline issue highlighting; customizable packages
Data handlingRuns locally in your own Python environmentSiloed script storage, WGA-compliant, not used to train models
Texthero
Texthero

Open-source Python library for cleaning, vectorizing, and visualizing text data with Pandas.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that delivers loglines, comparable titles, and character emotional journey charts per script.

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Pricing
Free
Paid
Plans
—
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Popularity
3 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
API
WebAPI
Categories
📊 Data & Analytics
📖 Fiction & Screenwriting
Features
Text cleaning pipeline with sensible defaults (fillna, lowercase, remove_digits, remove_punctuation, remove_diacritics, remove_stopwords, remove_whitespace)
Custom cleaning pipelines via a list of functions from texthero.preprocessing
TF-IDF vectorization with a max_features parameter
PCA dimensionality reduction for 2D visualization
t-SNE dimensionality reduction
Plotly-powered scatterplot visualization with color-coded categories
Named entity recognition via hero.named_entities()
Top words extraction with hero.top_words()
Pandas Series and DataFrame integration, chainable with .pipe()
Built-in BBC Sport dataset (737 documents across five topics, 2004-2005)
Jupyter notebook friendly, interactive Plotly output
MIT license, installable with pip install texthero
AI screenplay analysis with logline and synopsis generation
Comparable films and TV show comparisons per script
Character emotional journey charts
Visual representations of characters
Story points breakdown
Full assessment analysis and theme breakdowns
Proofread add-on with inline issue highlights and recommended fixes
Customizable analysis packages
Page-length-based pricing for TV and feature scripts
Secure siloed storage for uploaded scripts
WGA-compliant script handling
Analyzed stories are not used to train LLM models
PDF report export
First Look community with weekly meetups
Integrations
Pandas
Plotly
scikit-learn
spaCy

What real users say: Texthero 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.

Texthero

3 mentions across 1 sources · 55% positive — mixed (averaged across 1 source)

GitHub

What users praise

  • • Simple, intuitive API lowers the barrier for NLP beginners.
  • • Seamless Pandas integration allows chaining operations on DataFrame columns.
  • • Built-in visualization (scatterplot with PCA) helps quick data exploration.
  • • Includes common preprocessing steps (cleaning, TF-IDF, NER) out of the box.

What frustrates them

  • • Core design stores lists in Pandas cells – a known anti-pattern.
  • • Lacks multilingual preprocessing; effectively English-only.
  • • 82 open issues indicate potential maintenance backlog.
  • • Not suitable for production due to performance and design issues.

Researched Jul 30, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Sep 29, 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.

Feature-by-feature

ScreenplayIQ's capabilities are narrative and market-facing. Upload a script and you get a logline, a full synopsis, comparable films and TV shows, story points, and a full assessment with theme breakdowns. Higher packages add character synopses, visual representations of characters, and character emotional journey charts. A proofread add-on flags issues inline and recommends fixes, packages are customizable, and pricing scales with page length for both TV and feature scripts. Uploaded scripts sit in secure siloed storage with WGA-compliant handling, and analyzed stories are explicitly not used to train LLM models. Texthero occupies a different universe entirely: it is a Python library that lowercases text, strips punctuation and stopwords, runs TF-IDF vectorization with a max_features parameter, applies PCA for dimensionality reduction, and draws scatterplots with color-coded categories. It also does named entity recognition and top-word extraction, chains cleanly on Pandas DataFrame columns, and ships with the BBC Sport dataset for demos under an MIT license. ScreenplayIQ tells you whether a story works and who might buy it; Texthero tells you what tokens are frequent in a corpus. There is no overlap in inputs, outputs, or users.

Pricing compared

ScreenplayIQ is paid, and deliberately not subscription-based. You buy analysis per script, with price determined by page length, so a short TV pilot and a 120-page feature cost differently. Packages scale by depth — a Story Analysis tier, a Story + Character tier, and a Full Evaluation tier — with the proofread add-on and package customization on top. The stated rationale is that occasional users aren't paying for idle months, which is genuinely useful if you analyze two scripts a year rather than ten a month. The trade-off is that there is no unlimited monthly plan and no free full-featured tier. Texthero costs nothing: it is MIT-licensed open source, so the software price is literally zero and your only real cost is the engineer time to install and wire it into a pipeline. That makes the two impossible to price-compare — one is a per-document professional service, the other is a dependency in a requirements.txt file.

Who should pick which

  • Screenwriter pre-rewrite
    Pick: ScreenplayIQ

    Buy a Full Evaluation before committing months to a rewrite; the story points, character emotional journey charts, and comparable titles give objective structural notes rather than a friend's opinion.

  • Producer triaging a stack of scripts
    Pick: ScreenplayIQ

    Per-script pricing means you pay only for the drafts you actually assess, and the logline, synopsis, and comparable-film output give a fast presentable read on market potential.

  • Agent checking readiness
    Pick: ScreenplayIQ

    A Story Analysis package produces the synopsis and comparables you need to judge whether a client's script is ready to send out, with secure siloed storage and no training on your material.

  • Python beginner learning NLP
    Pick: Texthero

    Texthero's cleaning, TF-IDF, PCA, and scatterplot API is beginner-friendly, Pandas-native, and free, with a bundled BBC Sport dataset for practice.

  • Data scientist doing quick EDA on text
    Pick: Texthero

    Chain clean, vectorize, and visualize directly on DataFrame columns in a notebook — ideal for small exploratory datasets, though not for production-scale processing.

Frequently Asked Questions

Could a screenwriter use Texthero instead of ScreenplayIQ?

Not for the job ScreenplayIQ does. Texthero has no concept of story structure, characters, or box office comparables — it preprocesses text strings. You could theoretically run its cleaning and top-word extraction over a script file as a curiosity, but it would not return notes on your story.

Could an NLP developer use ScreenplayIQ in a pipeline?

No. It is a hosted analysis service for screenplays, priced per script, not a library you import. There are no listed integrations or API in the data provided, so it is not a component you wire into a text-processing workflow.

Is ScreenplayIQ's proofread the same as line-by-line editing?

The proofread add-on highlights issues inline and recommends fixes, but the product's own positioning says it is not for writers who need line-by-line editing or a developmental partnership. Treat it as automated flagging, not an editor relationship.

Does Texthero have any paid tier or support plan?

No. It is MIT-licensed open source with no commercial tier described. Your support is the community and the source code.

Can I process large volumes with Texthero?

Its own positioning lists production text processing and large-scale data as out of scope, along with deep learning, streaming analysis, and non-Python use. It is aimed at small exploratory datasets and prototyping.

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Last reviewed: September 28, 2026