Sieves vs ScreenplayIQ

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

Analysis generated Live tool data as of 2026-10-26
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Sieves or ScreenplayIQ: which should you choose?

DimensionSievesScreenplayIQ
Target UserDevelopers, data scientists, AI researchersScreenwriters, producers, studio execs
Primary FunctionZero-shot document AI pipelineScreenplay analysis + box office prediction
Key FeatureZero-shot classification, NER, PII masking, structured outputBox office prediction, beat sheets, pitch deck integration
IntegrationsDSPy, GLiNER, Hugging Face, LangChain, Outlines, Docling, Marker, Chonkie, MantisPitchTrailer
Latest News2026-06-16: Show HN: Ctx, save tokens by loading only relevant toolsNo recent news

If you're a screenwriter or producer needing financial script forecasts, ScreenplayIQ is the clear choice with its box office prediction and pitch deck tools. For developers building NLP pipelines without training data, Sieves offers unmatched zero-shot flexibility and is free. Choose based on your domain: film industry vs. general document AI.

Sieves
Sieves

Open-source Python library for zero-shot document AI, chaining NLP tasks into validated, schema-conformant output without training data.

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ScreenplayIQ
ScreenplayIQ

ScreenplayIQ turns your screenplay into AI script coverage — logline, synopsis, character arc charts and proofreading, priced per script.

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Pricing
Free
Paid
Plans
Open SourceFree
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPI
Categories
📑 Document AI & Data Extraction📦 LLM App Frameworks & SDKs
📖 Fiction & Screenwriting
Features
Pipeline orchestration via Pipeline([...]) or + chaining
Zero-shot classification with custom label sets
Information extraction into structured output
Named entity recognition (NER)
Relation extraction
Sentiment analysis
Summarization
Translation
PII masking for redaction
Question answering
Document parsing via Docling or Marker
Text chunking via Chonkie or NaiveChunker
Structured generation with schema validation
Conditional per-document task execution
Pipeline caching (use_cache, dump/load/serialize/deserialize)
Logline generated from your full screenplay draft
Similar films and TV shows surfaced for market framing
Structured story points broken out of the script
Full synopsis produced without reading the whole draft
Character synopses across the full cast
Visual representations of each character
Character emotional journey charts tracking arcs across the script
Full assessment analysis of the draft
Theme breakdowns
Proofread report covering all issues
Inline highlights on every flagged issue
Recommended fix attached to each flagged issue
Custom analysis package built outside the presets
Pricing by page length, quoted separately for TV and features
Encrypted, siloed storage with WGA-compliant handling, never used to train LLM models
Integrations
DSPy
GLiNER
Hugging Face
LangChain
Outlines
Docling
Marker
Chonkie
NaiveChunker

Who should pick Sieves, and who should pick ScreenplayIQ?

  • Screenwriter seeking market feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides box office prediction, structural analysis, and pitch deck generation directly tailored to improving script marketability.

  • Producer evaluating script ROI
    Pick: ScreenplayIQ

    The comparative market data against top-grossing films and financial forecasts are unique to ScreenplayIQ and directly support investment decisions.

  • Developer building a document extraction pipeline
    Pick: Sieves

    Sieves offers zero-shot NER, classification, and structured output with easy pipeline chaining and integrations, all for free.

  • Data scientist prototyping NLP for legal documents
    Pick: Sieves

    Sieves supports PII masking, summarization, translation, and parsing via Docling, making it suitable for sensitive document workflows.

  • AI researcher exploring zero-shot models
    Pick: Sieves

    Sieves integrates with GLiNER, Outlines, and more, allowing rapid experimentation with state-of-the-art zero-shot approaches.

Frequently Asked Questions

Sieves vs ScreenplayIQ: which should you choose?

If you're a screenwriter or producer needing financial script forecasts, ScreenplayIQ is the clear choice with its box office prediction and pitch deck tools. For developers building NLP pipelines without training data, Sieves offers unmatched zero-shot flexibility and is free. Choose based on your domain: film industry vs. general document AI.

Can I use ScreenplayIQ for TV scripts or short films?

No, ScreenplayIQ only supports English feature films (feature-length scripts). It is not designed for TV or short film formats.

Does Sieves require a paid API or subscription?

No, Sieves is free and open-source. You only pay for any external model APIs or compute you choose to use.

Can ScreenplayIQ predict box office accurately?

It uses comparative market data and narrative analysis to provide a prediction, but no tool guarantees accuracy; it's a data-driven estimate.

Is coding required to use Sieves?

Yes, Sieves is a Python library. You need programming skills to install and chain tasks in a pipeline.

Can I export reports from ScreenplayIQ?

Yes, you can export analysis reports as PDF.

Does Sieves handle scanned documents?

Yes, via integration with Docling and Marker, which parse scanned PDFs and images.

What is the latest news about Sieves?

On 2026-06-16, a Show HN introduced 'Ctx', a tool that loads only relevant tools to save tokens for LLM interactions, reducing costs.

Can I collaborate with a team on ScreenplayIQ?

Yes, the Studio tier ($49/mo) supports collaborative workspace for up to 5 users with API access.

What else are Sieves and ScreenplayIQ compared with?

Where can you read more about Sieves and ScreenplayIQ?

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