Xberg 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

DimensionXbergScreenplayIQ
Target UserDevelopers, data engineersScreenwriters, producers, studio execs
Core FunctionOpen-source document extraction for 96+ formatsAI script analysis & box office prediction
IntegrationsLangChain, LlamaIndex, Haystack, CrewAI, txtAI, SurrealDB, Spring AI, Open WebUIPitchTrailer
Tech StackRust core, multi-engine OCR, Whisper, plugin systemAI models for narrative analysis
OutputExtracted text, tables, metadata, images, code, summariesReports, pitch decks, heatmaps, market comparisons

ScreenplayIQ and Xberg serve completely different use cases: ScreenplayIQ is a specialized AI tool for screenwriting analysis and box office prediction, while Xberg is a developer-first open-source document extraction framework. If you are a screenwriter or producer seeking script marketability insights, ScreenplayIQ is your choice. If you are a developer needing a fast, CPU-efficient pipeline for extracting structured data from 96+ formats, Xberg is superior—and completely free.

Xberg
Xberg

Xberg is an open-source content intelligence engine that extracts 107 document, web, code, image and audio formats into clean Markdown,

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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
Freemium
Paid
Plans
$0
Custom
Custom
~$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
WebAPIPluginCLI
WebAPI
Categories
📑 Document AI & Data Extraction🗄️ Vector Databases & Retrieval
📖 Fiction & Screenwriting
Features
Extract text, tables and metadata from 107 document, web and media formats to Markdown or five other output formats
Multi-backend OCR via Tesseract, PaddleOCR, EasyOCR and VLM backends with confidence scores and language detection
Whisper audio and video transcription with backend fallback for file-based media
Code intelligence: extract functions, classes, imports and symbols across 371 languages
Structured entity and schema-matched JSON extraction using a local or hosted LLM without prompt engineering
Embedding generation for search and RAG pipelines, with bounded ONNX Runtime session memory
Web fetching and crawling via crawlberg in Auto, Document and Crawl modes
Recursive nested archive extraction from .zip, .tar, .gz and .7z with zip-bomb and nesting-depth guards
Configurable inline data-media handling for HTML output, added in 1.3.3
Native SDKs for Python, TypeScript, Rust, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig and C
Pure WebAssembly package for browsers, Cloudflare Workers, Deno, Bun and serverless at 60–80% of native speed
Deploy as REST API server, CLI, MCP server for AI agents, Docker container or WASM module
Named entity recognition and redaction for sensitive content, plus summarization, translation and page classification
Diagram recovery from vector SVG and PDF sources to Graphviz DOT
Plugin system for custom extractors and OCR backends
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
LangChain
LlamaIndex
Haystack
CrewAI
txtAI
SurrealDB
Spring AI
Open WebUI
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What real users say: Xberg 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.

Xberg

6 mentions across 2 sources · 45% positive — mixed (averaged across 2 sources)

GitHub, Lemmy

What users praise

  • • Supports extraction from 96+ file formats out of the box.
  • • Rust core provides high performance and minimal external dependencies.
  • • Completely free and open-source with permissive license.
  • • Multi-backend OCR pipeline enables flexible text extraction.

What frustrates them

  • • Community feedback beyond GitHub stars is very limited.
  • • Support relies on open-source community; no official helpdesk.
  • • Integration guides for AI frameworks may be incomplete.
  • • Advanced features like VLM OCR still experimental?

Researched Jul 3, 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 feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural analysis, box office prediction, and market comparisons, directly addressing a screenwriter's need to gauge script marketability.

  • Producer evaluating ROI
    Pick: ScreenplayIQ

    Producers can leverage ScreenplayIQ's box office prediction and comparative market data to make data-driven slate decisions.

  • Developer building RAG pipeline
    Pick: Xberg

    Xberg's support for 96+ formats, multi-engine OCR, and native SDKs in 17 languages is ideal for high-throughput document extraction for retrieval-augmented generation.

  • DevOps deploying serverless extraction
    Pick: Xberg

    Xberg's Docker image, CLI, and REST API enable easy deployment in containerized or serverless environments with CPU-only efficiency.

  • Researcher processing LaTeX/BibTeX
    Pick: Xberg

    Xberg's support for academic formats like LaTeX and BibTeX, plus citation extraction, is tailored for researchers managing bibliographic data.

Frequently Asked Questions

Xberg vs ScreenplayIQ: which should you choose?

ScreenplayIQ and Xberg serve completely different use cases: ScreenplayIQ is a specialized AI tool for screenwriting analysis and box office prediction, while Xberg is a developer-first open-source document extraction framework. If you are a screenwriter or producer seeking script marketability insights, ScreenplayIQ is your choice. If you are a developer needing a fast, CPU-efficient pipeline for extracting structured data from 96+ formats, Xberg is superior—and completely free.

Can ScreenplayIQ edit my script or correct grammar?

No, ScreenplayIQ is an analysis tool focused on narrative structure and market potential, not line editing or grammar checking.

Does Xberg require a GPU?

No, Xberg is optimized for CPU via SIMD and can optionally use GPU for VLM OCR, but it is not required.

What file formats does ScreenplayIQ support?

ScreenplayIQ supports English feature film scripts up to 150 pages, but specific file formats are not listed; likely standard screenplay formats (FD, PDF, etc.).

Can I use Xberg as a cloud API?

Xberg is self-hosted; there is no managed cloud tier. You must deploy it yourself via Docker, REST API, CLI, or MCP server.

Does ScreenplayIQ offer a free trial?

Yes, it has a free tier with 1 analysis per month, but no time-limited trial of higher tiers is mentioned.

Is Xberg suitable for real-time transcription?

No, Whisper-based audio/video transcription in Xberg is file-based, not real-time streaming.

Can I extract data from handwritten documents?

Yes, Xberg's OCR engines (Tesseract, PaddleOCR, EasyOCR) can process handwritten text, though accuracy varies.

Does ScreenplayIQ support collaborative editing?

ScreenplayIQ Studio tier provides a collaborative workspace for up to 5 users, but real-time collaborative editing is not mentioned.

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Last reviewed: July 3, 2026