Potato vs ScreenplayIQ

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

Live tool data as of 2026-07-17
Reviewed by our team on
Saved

At a glance

DimensionPotatoScreenplayIQ
Pricingfree · from Open Source (Self-Hosted) $0paid · from Story Analysis ~$24 for TV / ~$38 for Feature
Best forNLP researchers needing quick annotation tasks for text classification, NER, or sentiment analysis, Computer vision teams annotating images/video with bounding boxes or polygonsScreenwriters seeking data-driven feedback on script marketability, Producers evaluating potential box office returns
Standout features30+ annotation types including radio, multiselect, Likert, slider, text, span, best-worst scaling, pairwise, number, · Agent evaluation with interactive clickable graph for multi-agent teams · Trajectory editing to produce SFT and DPO training dataAI-powered screenplay analysis with structural feedback · Box office performance prediction · PitchTrailer integration for generating pitch decks
Viability score69/10075/100
APIYesYes

Potato is the stronger pick for nlp researchers needing quick annotation tasks for text classification, ner, or sentiment analysis; ScreenplayIQ fits better for screenwriters seeking data-driven feedback on script marketability.

Built from live tool data, last verified 2026-07-17.

Potato
Potato

Free open-source annotation tool for text, audio, images, video, and AI agents with YAML configuration.

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ScreenplayIQ
ScreenplayIQ

AI script analysis with box office prediction and tailored feedback.

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Pricing
Free
Paid
Plans
$0
~$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
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPI
Categories
📊 Data & Analytics🔬 Research & Education
📊 Data & Analytics
Features
30+ annotation types including radio, multiselect, Likert, slider, text, span, best-worst scaling, pairwise, number,
Agent evaluation with interactive clickable graph for multi-agent teams
Trajectory editing to produce SFT and DPO training data
LLM-as-judge calibration and judge-to-human alignment
Model arena for ranking models
AI-powered hints and label suggestions via OpenAI, Claude, Gemini, Ollama, HuggingFace, OpenRouter, vLLM
Active learning with 5 strategies: uncertainty, diversity, BADGE, BALD, hybrid ensemble
Multimedia annotation: audio waveforms, image bounding boxes/polygons, video playback
Qualitative coding (QDA Mode): living codebook, in-vivo codes, memos, cases, full-text search
YAML-based zero-code setup
Data import from .txt, .json, .jsonl, .jpg, .png, .mp3, .wav, .mp4, .pdf, .html
Export to JSON, JSONL, CSV, CoNLL, Hugging Face, spaCy, COCO, YOLO, Pascal VOC
Crowdsourcing integration with Prolific and Amazon MTurk
Built with Python/Flask, runs locally or on server
AI-powered screenplay analysis with structural feedback
Box office performance prediction
PitchTrailer integration for generating pitch decks
Beat sheet generation for pacing analysis
Visual heatmap of dialogue and pacing
Genre classification
Character arc analysis and emotional journey charts
Comparative market data against top-grossing films
Export reports as PDF
Collaborative workspace (up to 5 users)
Custom genre templates
API access
Advanced analytics dashboard
Priority support
Dedicated account manager
Integrations
OpenAI GPT-4, GPT-3.5
Anthropic Claude
Google Gemini
Ollama
HuggingFace Inference API
OpenRouter
vLLM
LangChain (trace ingestion)
OpenAI Vision
Anthropic Vision
Prolific
Amazon MTurk
LangSmith
Langfuse
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

Which is better, Potato or ScreenplayIQ?

The best choice between Potato and ScreenplayIQ depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Potato and ScreenplayIQ?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Potato or ScreenplayIQ?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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