Potato 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

DimensionPotatoScreenplayIQ
PricingFree (open-source, self-hosted)Free tier (1 analysis/month), Pro $19/mo, Studio $49/mo
Primary UseGeneral annotation for text, audio, image, video, and AI agentsScreenplay analysis and box office prediction
AI IntegrationIntegrates via API with OpenAI, Claude, Gemini, Llama, etc.Built-in AI for script analysis and market predictions
CollaborationNot explicitly mentioned for real-time concurrent editingUp to 5 users on Studio plan
Target UsersNLP researchers, CV teams, qualitative researchers, AI evaluatorsScreenwriters, producers, studio executives
OutputExports to JSON, JSONL, CSV, CoNLL, Hugging Face, etc.PDF reports with structural feedback and financial forecasts

Choose ScreenplayIQ if you're a screenwriter or producer needing data-driven box office predictions and structural feedback on feature scripts. Choose Potato if you need a free, flexible annotation platform for multi-modal data (text, audio, images, video, agent traces) and are comfortable self-hosting.

Potato
Potato

Free open-source annotation for text, images, audio, video, and AI agents.

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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
WebCLI
WebAPI
Categories
🏷️ Data Labeling & Training Data
📖 Fiction & Screenwriting
Features
61 annotation types including classification, span, bounding box, polygon, and more
Agent evaluation on clickable interaction graphs for multi-agent teams
LLM hints from OpenAI, Claude, and Gemini for label suggestions
Active learning with uncertainty sampling, diversity-based, BADGE, BALD, hybrid ensemble
QDA Mode with living codebook, in-vivo codes, memos, cases
Audio waveform annotation
Image annotation with bounding boxes and polygons
Video playback controls for annotation
IRT error bars for label confidence
Multiplayer norming rooms with live agreement meter
Counterfactual boundary probes
Peer-prediction scoring
Think-Aloud Mode for local voice rationales
Keystroke logging for free-text answers
Reads 21 transcript formats and converts ASR folders
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
OpenAI
Anthropic Claude
Google Gemini
Ollama
HuggingFace Inference API
OpenRouter
vLLM
LangChain
CrewAI
AutoGen
OpenTelemetry
Prolific
Amazon MTurk
PitchTrailer

Who should pick which

  • Screenwriter seeking market feedback
    Pick: ScreenplayIQ

    Provides box office prediction, beat sheets, and comparable market data, directly addressing commercial viability.

  • NLP researcher annotating text datasets
    Pick: Potato

    Supports diverse annotation types, active learning, and integration with multiple LLMs for label suggestions.

  • Studio executive evaluating script slate
    Pick: ScreenplayIQ

    Offers quantitative financial forecasts and structural feedback in a collaborative workspace.

  • Computer vision team annotating images/video
    Pick: Potato

    Supports bounding boxes, polygons, and video playback, with YOLO/COCO export formats.

  • AI agent evaluation team
    Pick: Potato

    Agent evaluation features include interactive graph, trajectory editing, and integration with LangChain.

Frequently Asked Questions

Potato vs ScreenplayIQ: which should you choose?

Choose ScreenplayIQ if you're a screenwriter or producer needing data-driven box office predictions and structural feedback on feature scripts. Choose Potato if you need a free, flexible annotation platform for multi-modal data (text, audio, images, video, agent traces) and are comfortable self-hosting.

Can ScreenplayIQ analyze TV scripts or short films?

No, it is designed for English feature films only and struggles with scripts over 150 pages.

Does Potato support real-time collaborative annotation?

The current features do not mention real-time concurrent editing; it may work with sequential access.

Which LLMs can Potato integrate with?

It integrates with OpenAI, Claude, Gemini, Ollama, HuggingFace, OpenRouter, vLLM, and more.

What export formats does ScreenplayIQ support?

It exports reports as PDF, but no other formats are listed.

Is ScreenplayIQ suitable for line-by-line editing?

No, it focuses on structural analysis and market prediction, not grammar or line editing.

Can Potato be used for large-scale annotation?

It does not mention horizontal scaling, so very large projects may face performance issues.

Does ScreenplayIQ offer API access?

Yes, API access is available on the Studio plan ($49/mo).

Is Potato fully managed or self-hosted?

It is open-source and self-hosted, requiring a Python/Flask server.

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Last reviewed: July 6, 2026