Fenic vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionFenicScreenplayIQ
Target userData scientists, AI engineers, agent developersScreenwriters, producers, studio execs
Core capabilitySemantic DataFrames for unstructured data using LLMsAI screenplay analysis with box office prediction
IntegrationMultiple LLM providers (OpenAI, Anthropic, Google, OpenRouter)PitchTrailer
Key limitationPython-only, no no-code GUIFeature films only, English, max 150 pages
Latest news highlightsv0.7.0 adds Gemini 3 Flash with thinking levels; v0.6.0 adds LLM caching, 20+ new opsNone
Fenic
Fenic

Fenic turns messy text into typed, queryable Semantic DataFrames with LLM-powered extraction, classification, and semantic joins in Python.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that returns a logline, comps, character arcs, and proofed fixes on your draft

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Pricing
Free
Paid
Plans
—
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
7 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLI
WebAPI
Categories
📊 Data & Analytics📦 LLM App Frameworks & SDKs
📖 Fiction & Screenwriting
Features
Convert messy text into typed, queryable Semantic DataFrames
LLM-powered extraction, classification, and embedding operations
Join datasets by semantic similarity instead of exact keys
Nine Rust expression plugins for Polars text ops (chunking, prompt templating, jq, fuzzy matching, markdown, transcript
Cached execution plans so you rerun instead of redo
Persistent LLM response caching
Per-LLM-call cost tracking
Lineage graph and explainability per operation
20+ DataFrame operations added in 0.6.0
PDF parsing through multiple backends
Claude 4.5, GPT-5.1, and Gemini 3 Pro support
Gemini 3 Flash with four thinking levels (0.7.0)
Optional usage summary suppression (0.7.0)
Promote results to production tables or MCP tools
pip install fenic, requires Python 3.10+
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market framing
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
OpenAI
Anthropic
Google
OpenRouter
Polars

What real users say: Fenic 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.

Fenic

53 mentions across 4 sources · 44% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, GitHub, Lemmy

What users praise

  • • Lineage and cost tracking per LLM operation make audits easy.
  • • Persistent caching avoids re-running expensive model calls.
  • • Supports a wide range of LLM providers and models.
  • • Semantic DataFrames let you query by meaning, not just keywords.

What frustrates them

  • • Steep learning curve for users new to Python or dataframes.
  • • Limited documentation and community examples slow adoption.
  • • API costs can spike without careful caching management.
  • • Not yet stable for large-scale production pipelines.

Researched Jul 29, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 14, 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.

Who should pick which

  • Screenwriter seeking market validation
    Pick: ScreenplayIQ

    ScreenplayIQ directly predicts box office performance and provides structural feedback tailored to feature films.

  • Producer evaluating multiple scripts
    Pick: ScreenplayIQ

    The comparative market data and collaborative workspace (Studio) help compare scripts efficiently.

  • Data scientist processing unstructured text
    Pick: Fenic

    Fenic's Semantic DataFrames with LLM-powered extraction and caching are built for this task.

  • AI engineer building agent data pipelines
    Pick: Fenic

    Fenic's lineage tracking, MCP tool export, and support for multiple LLMs fit agent development needs.

  • Hobbyist writer wanting occasional feedback
    Pick: ScreenplayIQ

    Free tier offers 1 analysis per month, enough for casual use without cost.

Frequently Asked Questions

Can Fenic analyze screenplays like ScreenplayIQ?

No. Fenic is a generic data processing framework; it has no screenplay-specific analysis or box office prediction.

Does ScreenplayIQ support TV scripts or short films?

No, only feature films (max 150 pages).

Can I use Fenic without coding?

No. Fenic is a Python library; you need to write Python code to use it.

Does ScreenplayIQ offer a free trial?

Yes, there is a Free tier with 1 analysis per month.

Which tool handles PDFs better?

Fenic has dedicated PDF parsing backends and supports extracting data from multiple PDFs. ScreenplayIQ only accepts script uploads (likely PDF) but focuses on structural analysis.

Do both tools integrate with other platforms?

ScreenplayIQ integrates with PitchTrailer only. Fenic integrates with multiple LLM providers and can export to MCP tools.

Can ScreenplayIQ be used for collaborative script coverage?

Yes, the Studio tier supports up to 5 users collaborating. Fenic has no collaboration features.

Which tool is more cost-effective for heavy use?

Fenic is free but requires LLM API costs. ScreenplayIQ's Pro tier at $19/mo includes unlimited analyses, which may be cheaper if LLM costs exceed $19 monthly.

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Last reviewed: July 3, 2026