Pdfstract 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

DimensionPdfstractScreenplayIQ
Core Use CasePDF data extraction & preparation for RAG pipelinesScreenwriting analysis & box office prediction
Target UserDevelopers, data scientists, RAG pipeline buildersScreenwriters, producers, studio executives
Key Features10+ extraction backends, 10+ chunking methods, embedding generation, CLI & Web UIAI structural feedback, beat sheets, pitch deck integration, market comparisons
IntegrationMarker, Docling, PyMuPDF4LLM, OpenAI, Sentence TransformersPitchTrailer
LimitationsRequires technical expertise, no OCR guarantee, not a full RAG platformEnglish feature films only, max 150 pages, no line editing
Try PdfstractTry ScreenplayIQ
Pdfstract
Pdfstract

Open-source command-line pipeline that extracts, chunks, and embeds PDFs for RAG, with switchable libraries via one parameter.

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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
$0
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIAPIWeb
WebAPI
Categories
📑 Document AI & Data Extraction🗄️ Vector Databases & Retrieval📊 Data & Analytics
📖 Fiction & Screenwriting
Features
One-command convert-chunk-embed pipeline for PDFs
PDF extraction with 10+ libraries (Marker, Docling, PyMuPDF4LLM, Unstructured, PaddleOCR)
Additional extractors including markitdown, pytesseract, and deepseek
AI-powered semantic chunking
10+ chunking methods including token, recursive, and code-aware splitting
Vector embeddings via OpenAI, Sentence Transformers, and Ollama
Single-parameter switching between libraries, chunkers, and embedding providers
Auto-detection that selects an optimal library per document
Python library API with convert, chunk, and embed_texts methods
CLI with batch processing and automation support
React-based Web UI with real-time preview
Docker-ready one-command deployment
Tiered pip installs (base, standard for OCR, advanced for ML-powered converters, all)
Parallel processing for batch workflows
Outputs vector-ready chunks with embeddings attached for RAG ingestion
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
Sentence Transformers
Ollama
Marker
Docling
PyMuPDF4LLM
Unstructured
PaddleOCR
pytesseract
markitdown

Who should pick which

  • Solo screenwriter
    Pick: ScreenplayIQ

    Free tier provides one analysis per month to evaluate script marketability and structure.

  • RAG pipeline developer
    Pick: Pdfstract

    Open-source, unified API for extraction and embedding, ideal for automating PDF preprocessing.

  • Studio executive
    Pick: ScreenplayIQ

    Pro or Studio tiers offer unlimited analyses and market comparisons for slate decisions.

  • Data scientist preparing PDF dataset
    Pick: Pdfstract

    Multiple extraction backends and chunking methods allow experimentation for best LLM ingestion.

  • Script coverage analyst
    Pick: ScreenplayIQ

    Quantitative support with beat sheets and structural feedback to complement manual coverage.

Frequently Asked Questions

Can ScreenplayIQ edit my script line by line?

No, it provides structural and market feedback, not line editing or grammar checks.

Is Pdfstract suitable for scanned PDFs?

It depends on the backend; some backends support OCR, but it's not guaranteed across all.

Does ScreenplayIQ support TV scripts or short films?

No, it currently supports English feature films only.

Does Pdfstract offer a graphical user interface?

Yes, it includes a Web UI for interactive use, plus CLI and Python package.

What is the maximum script length for ScreenplayIQ?

Scripts over 150 pages are not supported due to AI context window limitation.

Can Pdfstract generate embeddings for RAG?

Yes, it supports OpenAI, Sentence Transformers, and local models for embedding generation.

Is ScreenplayIQ's box office prediction reliable?

It uses market trend data, but no prediction is guaranteed. It's a decision-support tool.

Is Pdfstract a complete RAG platform?

No, it's only the data preparation layer; you still need a vector database and LLM.

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Explore each tool further

Pdfstract
View Pdfstract reviewPdfstract alternatives
ScreenplayIQ
View ScreenplayIQ reviewScreenplayIQ alternatives

Browse these categories

Best AI Document AI & Data Extraction toolsBest AI Fiction & Screenwriting toolsBest AI Vector Databases & Retrieval toolsBest AI Data & Analytics tools
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Last reviewed: July 3, 2026