Spotlight vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionSpotlightScreenplayIQ
PricingFree (open-source)Free tier (1 analysis/mo), Pro $19/mo, Studio $49/mo
Best ForData scientists exploring unstructured datasetsScreenwriters & producers predicting box office returns
Key FeatureInteractive similarity maps for outlier/duplicate detectionAI script analysis with box office prediction
Data TypesText, image, audio, video, time series, 3DFeature film screenplays (English, ≤150 pages)
Integrationspandas, Hugging Face, NumPy, scikit-learn, TensorFlow, PyTorchPitchTrailer
Target UserML engineers and researchersScreenwriters, producers, studio executives

Spotlight and ScreenplayIQ serve completely different purposes. If you're a data scientist or ML engineer plagued by messy unstructured data (text, images, audio), choose Spotlight—it's free, open-source, and lets you interactively clean, label, and find outliers right from pandas. If you're a screenwriter or producer who needs data-driven predictions on script marketability and box office potential, ScreenplayIQ offers AI analysis with financial forecasts, but expect to pay for full access. The overlap is zero: pick based on your domain.

Spotlight
Spotlight

AI data curation and interactive visualization for messy unstructured datasets

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis with box office prediction and tailored feedback.

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Pricing
Free
Paid
Plans
$0/mo
~$24 for TV / ~$38 for Feature
~$48 for TV / ~$78 for Feature
~$60 for TV / ~$98 for Feature
~$24 for TV / ~$38 for Feature
~$24 for TV / ~$38 for Feature
~$118 for TV / ~$198 for Feature
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopAPICLI
WebAPI
Categories
📊 Data & Analytics🏷️ Data Labeling & Training Data
📖 Fiction & Screenwriting
Features
Interactive similarity map visualization
Data labeling and annotation interface
Outlier and anomaly detection
Duplicate and near-duplicate identification
Custom embedding support
Integration with pandas DataFrames
Integration with Hugging Face Datasets
Export curated data subsets
Runs entirely locally for data privacy
Supports text, image, audio, video, time series, and 3D data
Interactive filtering and selection
Open-source with active community
Integrates with NumPy, scikit-learn, TensorFlow, PyTorch
AI-powered structural analysis
Box office performance prediction
PitchTrailer integration
Beat sheet generation
Visual heatmap of dialogue and pacing
Genre classification
Character arc and emotional journey charts
Comparative market data
PDF report export
Collaborative workspace (up to 5 users)
Custom genre templates
API access
Advanced analytics dashboard
Priority support
Dedicated account manager
Integrations
pandas
Hugging Face Datasets
NumPy
scikit-learn
TensorFlow
PyTorch
PitchTrailer

Who should pick which

  • Data scientist cleaning an image dataset
    Pick: Spotlight

    Spotlight's interactive similarity maps and outlier detection work directly on image embeddings from pandas, making it easy to find duplicates and mislabeled examples.

  • Screenwriter wanting box office forecast
    Pick: ScreenplayIQ

    ScreenplayIQ provides AI-driven structural feedback and box office prediction based on market data—exactly what a writer needs to gauge commercial potential.

  • ML engineer preparing audio training data
    Pick: Spotlight

    Spotlight supports audio data and was used in a bioacoustics project to organize acoustic datasets, as per the latest blog (2026-07-01).

  • Producer evaluating multiple scripts
    Pick: ScreenplayIQ

    The Studio plan ($49/mo) supports collaborative workspace for up to 5 users, ideal for a team reviewing scripts with market comparisons.

  • Researcher exploring text corpus for anomalies
    Pick: Spotlight

    Spotlight's anomaly detection and custom embedding support let you spot outliers in large text datasets without leaving your notebook environment.

Frequently Asked Questions

Spotlight vs ScreenplayIQ: which should you choose?

Spotlight and ScreenplayIQ serve completely different purposes. If you're a data scientist or ML engineer plagued by messy unstructured data (text, images, audio), choose Spotlight—it's free, open-source, and lets you interactively clean, label, and find outliers right from pandas. If you're a screenwriter or producer who needs data-driven predictions on script marketability and box office potential, ScreenplayIQ offers AI analysis with financial forecasts, but expect to pay for full access. The overlap is zero: pick based on your domain.

Can I use Spotlight for screenplay analysis?

No. Spotlight is designed for unstructured data exploration (text, images, audio, etc.) in data science workflows, not for script feedback or box office prediction.

Does ScreenplayIQ work for TV scripts or short films?

No. ScreenplayIQ only supports English feature film scripts, and scripts over 150 pages may hit the AI context window limitation.

Is Spotlight's latest bioacoustics use case live?

Yes. As of July 2026, a blog on Exploring Underwater Soundscapes confirms Spotlight was used to curate bioacoustic datasets for underwater sound detection.

Can I try ScreenplayIQ for free?

Yes, the Free tier gives you one screenplay analysis per month. Pro ($19/mo) unlocks unlimited analyses and comparative market data.

Does Spotlight require an internet connection?

No. Spotlight runs entirely locally for data privacy, so no internet is needed for exploration.

What integrations does ScreenplayIQ offer beyond PitchTrailer?

The provided data only lists PitchTrailer integration. For API access, you need the Studio plan ($49/mo).

Which tool is better for a film studio executive?

ScreenplayIQ, with its box office prediction and comparative market data, aligns with executive needs for slate decisions and script evaluation.

Can Spotlight handle large datasets beyond memory?

No. The tool is not recommended for datasets that exceed available memory, as it loads data into pandas DataFrames.

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Last reviewed: July 7, 2026