TurboOCR vs ScreenplayIQ

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

Analysis generated Live tool data as of 2026-10-26
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TurboOCR or ScreenplayIQ: which should you choose?

DimensionTurboOCRScreenplayIQ
Primary FunctionSelf-hosted GPU OCR server for high-throughput document text extractionAI screenplay analysis with box office prediction and structural feedback
Target UserDevOps engineers, developers needing high-speed self-hosted OCRScreenwriters, producers, studio executives
DeploymentSelf-hosted (Docker, single binary, requires NVIDIA GPU with CUDA)Cloud SaaS, accessible via web interface
Key Metric270 img/s on FUNSD RTX 5090, 11 ms p50 latencyUnlimited analyses on Pro plan; box office prediction accuracy undisclosed
Best ForOn-premises OCR pipelines with low-latency requirementsData-driven script evaluation and pitch deck creation
TurboOCR
TurboOCR

Self-hosted GPU document parser: PP-OCRv6 on TensorRT, up to 559 img/s on one RTX 5090.

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ScreenplayIQ
ScreenplayIQ

ScreenplayIQ turns your screenplay into AI script coverage — logline, synopsis, character arc charts and proofreading, priced per script.

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Pricing
Free
Paid
Plans
—
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APICLIDesktop
WebAPI
Categories
📑 Document AI & Data Extraction👁️ Computer Vision
📖 Fiction & Screenwriting
Features
OCR over HTTP and gRPC from a single binary
PP-OCRv6 model weights with TensorRT FP16 inference
Up to 559 images/sec on receipts and ~520 img/s on forms on an RTX 5090
92% word-F1 on FUNSD and 93% on CORD (medium tier, English/Latin-script)
Layout detection via PP-DocLayoutV3 (RT-DETR-L, 25 region classes)
Table extraction to HTML via SLANet-Plus
Formula rendering to LaTeX via PP-FormulaNet-S
Reading-order Markdown export via POST /ocr/markdown
Native PDF input rendered by a PDFium worker pool with auto-rotation
GET /capabilities endpoint reporting loaded pipeline stages
Prometheus metrics on /metrics (request counters, latency histograms, VRAM usage)
One-line Docker deploy with TensorRT engine caching to a named volume
MIT licensed open source
Selectable tiny / small / medium PP-OCRv6 tiers via OCR_MODEL
Optional page-image export from PDF input
Logline generated from your full screenplay draft
Similar films and TV shows surfaced for market framing
Structured story points broken out of the script
Full synopsis produced without reading the whole draft
Character synopses across the full cast
Visual representations of each character
Character emotional journey charts tracking arcs across the script
Full assessment analysis of the draft
Theme breakdowns
Proofread report covering all issues
Inline highlights on every flagged issue
Recommended fix attached to each flagged issue
Custom analysis package built outside the presets
Pricing by page length, quoted separately for TV and features
Encrypted, siloed storage with WGA-compliant handling, never used to train LLM models

Who should pick TurboOCR, and who should pick ScreenplayIQ?

  • DevOps engineer building a high-throughput document processing pipeline
    Pick: TurboOCR

    TurboOCR provides a self-hosted, low-latency OCR server with 270 img/s throughput and Prometheus metrics, ideal for production pipelines needing on-premises processing.

  • Screenwriter seeking data-driven feedback on a feature film script
    Pick: ScreenplayIQ

    ScreenplayIQ offers structural analysis, beat sheet generation, and box office prediction tailored for screenplay writers, with a free tier to start.

  • Startup with sensitive document data needing OCR without sending data to cloud
    Pick: TurboOCR

    TurboOCR is fully self-hosted, free, and open source, ensuring data never leaves your infrastructure, and supports PDFs with high accuracy.

  • Film producer evaluating multiple scripts for market potential
    Pick: ScreenplayIQ

    ScreenplayIQ's Pro plan allows unlimited analyses with comparative market data and box office predictions, aiding slate decisions.

  • Developer integrating OCR into custom software via HTTP/gRPC
    Pick: TurboOCR

    TurboOCR provides simple HTTP and gRPC endpoints, returning structured JSON, and is built for programmatic integration with high throughput.

Frequently Asked Questions

Can TurboOCR handle handwriting?

No, TurboOCR does not support handwriting recognition; it is optimized for printed text using PP-OCRv5.

Does ScreenplayIQ require a GPU?

No, ScreenplayIQ is cloud-based SaaS – no local GPU needed, only an internet connection.

Can I run TurboOCR on non-NVIDIA GPUs?

No, TurboOCR relies on NVIDIA TensorRT and CUDA; it requires an NVIDIA GPU.

What file formats does ScreenplayIQ accept?

ScreenplayIQ accepts standard screenplay formats (e.g., PDF, Fountain, Final Draft) for feature films (up to 150 pages).

Is ScreenplayIQ suitable for TV pilots or short films?

No, ScreenplayIQ is designed for feature films only; it does not support TV scripts or short films.

Does TurboOCR provide layout analysis?

Yes, TurboOCR optionally supports layout detection using PP-DocLayoutV3 with 25 region classes.

Can I use ScreenplayIQ offline?

No, ScreenplayIQ is a cloud service and requires an internet connection.

How does TurboOCR handle PDFs?

TurboOCR uses a PDFium worker pool to render PDF pages into images before feeding into the GPU pipeline.

What else are TurboOCR and ScreenplayIQ compared with?

Where can you read more about TurboOCR and ScreenplayIQ?

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