OpenCrab vs ScreenplayIQ
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | OpenCrab | ScreenplayIQ |
|---|---|---|
| Best For | Researchers, domain experts, AI builders needing structured ontology-based knowledge graphs with RAG | Screenwriters, producers, studio execs seeking data-driven script feedback and box office prediction |
| Core Feature | Ontology-centered Graph RAG: document ingestion, evidence graphs, ontology packs, MCP integration | AI screenplay analysis with beat sheet, pacing heatmap, and box office forecast |
| Integrations | Claude Desktop, Claude Code, GPT, Notion, GitHub | PitchTrailer |
| Not For | Simple vector DB users, non-technical users, multi-language beyond Korean/English | Line editing, TV/short scripts, hobbyists needing free full-feature tool |
| LATEST NEWS | OpenClaw (likely OpenCrab variant) now has iOS/Android apps; migration guides and simulation tests published | No recent news captured |
If you're a screenwriter or studio exec needing script marketability analysis and box office predictions, ScreenplayIQ is the clear choice with its beat sheets, heatmaps, and comparative market data. But if you're a researcher or AI builder who needs to turn messy documents into structured, auditable knowledge graphs with MCP integration (Claude/GPT), OpenCrab is far more powerful. Choose based on your domain: narrative finance vs. ontology-driven knowledge packaging.
OpenCrab is an ontology-first Graph RAG platform that turns documents into reusable, traceable knowledge packs
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AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes
Visit WebsiteWhat real users say: OpenCrab 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.
OpenCrab
39 mentions across 4 sources · 43% positive — mixed (averaged across 4 sources)
Hacker News, YouTube, Product Hunt, GitHub
What users praise
- • Provides auditable, evidence-grounded answers by tracing every response to source material.
- • Ontology-first design transforms knowledge into reusable, sellable packs.
- • MCP integration enables seamless use with Claude Desktop, GPT, and custom agents.
- • Supports diverse document ingestion including PDF, HWP, GitHub, and expert notes.
What frustrates them
- • Ontology modeling adds upfront complexity and a learning curve.
- • Cron jobs execute in wrong profile environment, causing misconfiguration.
- • Terminal launch crashes since v0.2.66 due to CUDA assertion.
- • Background-task results are not visible in chat, reducing transparency.
Researched Aug 27, 2026
ScreenplayIQ
No verifiable community signal. We scanned public discussion on Oct 7, 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 wanting to de-risk their scriptPick: ScreenplayIQ
ScreenplayIQ provides beat sheets, pacing heatmaps, and box office predictions based on comparative market data—exactly what a screenwriter needs to gauge marketability.
- Producer evaluating multiple scripts for potential ROIPick: ScreenplayIQ
The Pro plan offers unlimited analyses and comparative market data, enabling data-driven slate decisions with financial forecasts.
- Researcher building a structured evidence graph from papersPick: OpenCrab
OpenCrab ingests PDFs and notes, uses ontology modeling (Subject, Evidence, Claim, etc.), and supports Graph RAG for auditable answers—ideal for research.
- AI developer grounding a Claude/GPT agent with domain knowledgePick: OpenCrab
OpenCrab integrates via MCP with Claude Desktop and GPT, allowing you to deploy ontology packs as skills for agents. The latest mobile and migration updates show active development.
- Domain expert selling reusable knowledge packsPick: OpenCrab
OpenCrab’s pack publishing and marketplace (and latest updates) make it easy to package expertise into sellable ontology packs for other AI users.
Frequently Asked Questions
OpenCrab vs ScreenplayIQ: which should you choose?
If you're a screenwriter or studio exec needing script marketability analysis and box office predictions, ScreenplayIQ is the clear choice with its beat sheets, heatmaps, and comparative market data. But if you're a researcher or AI builder who needs to turn messy documents into structured, auditable knowledge graphs with MCP integration (Claude/GPT), OpenCrab is far more powerful. Choose based on your domain: narrative finance vs. ontology-driven knowledge packaging.
Can ScreenplayIQ analyze TV scripts or short films?
No, ScreenplayIQ is designed exclusively for feature film scripts. It does not support TV pilots or short film formats.
Does OpenCrab support languages other than Korean and English?
No, OpenCrab currently only supports Korean and English, as stated in its 'not_for' section.
What is the script length limit for ScreenplayIQ?
ScreenplayIQ has a 150-page limit due to AI context window constraints.
Can OpenCrab be used as a simple vector database?
No, OpenCrab is designed for ontology-centered Graph RAG, not as a simple vector DB. Users who need a straightforward vector database should look elsewhere.
Does ScreenplayIQ offer line-by-line editing?
No, ScreenplayIQ focuses on structural and market analysis, not line editing or grammar checking.
What is the latest news about OpenCrab?
OpenCrab (under the name OpenClaw) recently launched iOS and Android apps, published migration guides, and announced OpenYabby, a voice-controlled multi-agent orchestrator.
Can I use OpenCrab without programming?
OpenCrab targets technical users building agentic workflows; it is not recommended for non-technical users who prefer zero-configuration chat tools.
Is there a free trial for ScreenplayIQ?
Yes, ScreenplayIQ offers a Free tier with one analysis per month, allowing users to test the tool before upgrading.
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Last reviewed: July 2, 2026