Xberg vs ScreenplayIQ
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Xberg | ScreenplayIQ |
|---|---|---|
| Target User | Developers, data engineers | Screenwriters, producers, studio execs |
| Core Function | Open-source document extraction for 96+ formats | AI script analysis & box office prediction |
| Pricing | Free (open-source, self-hosted) | Free tier (1 analysis/mo), Pro $19/mo, Studio $49/mo |
| Integrations | LangChain, LlamaIndex, Haystack, CrewAI, txtAI, SurrealDB, Spring AI, Open WebUI | PitchTrailer |
| Tech Stack | Rust core, multi-engine OCR, Whisper, plugin system | AI models for narrative analysis |
| Output | Extracted text, tables, metadata, images, code, summaries | Reports, 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.
Who should pick which
- Screenwriter seeking market feedbackPick: ScreenplayIQ
ScreenplayIQ provides structural analysis, box office prediction, and market comparisons, directly addressing a screenwriter's need to gauge script marketability.
- Producer evaluating ROIPick: ScreenplayIQ
Producers can leverage ScreenplayIQ's box office prediction and comparative market data to make data-driven slate decisions.
- Developer building RAG pipelinePick: 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 extractionPick: Xberg
Xberg's Docker image, CLI, and REST API enable easy deployment in containerized or serverless environments with CPU-only efficiency.
- Researcher processing LaTeX/BibTeXPick: 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