SimpleCV 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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SimpleCV or ScreenplayIQ: which should you choose?

DimensionSimpleCVScreenplayIQ
What it isOpen-source Python computer-vision frameworkAI screenplay analysis service
Pricing modelFree (open source)Paid, per script / page-length based
Primary usersBeginners, students, educators, prototypersScreenwriters, producers, directors, agents
Core outputProcessed images, edges, keypoints via Python codeLoglines, synopses, story points, character charts
Production-readyNot intended for production or deep learningSiloed script storage, WGA-compliant handling
Best entry pointInstall library + run example scriptsUpload a script, buy an analysis package
SimpleCV
SimpleCV

Open source Python framework that wraps OpenCV in a beginner-friendly API for classic computer vision prototyping.

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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
Open SourceFree
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
7 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
DesktopCLI
WebAPI
Categories
👁️ Computer Vision
📖 Fiction & Screenwriting
Features
Simple, Pythonic API over high-level vision libraries such as OpenCV
USB camera capture via the Camera class
Frame grabbing through cam.getImage()
Image binarization via img.binarize()
Thresholding that sets each pixel black or white by brightness
Edge detection via the edges method, setting edge pixels to white
Keypoint detection via Image.findKeypoints
Keypoints for 3D reconstruction and image matching tasks
Drawing text overlays on images via drawText()
Drawing shapes on images
Image display window via img.show()
Color space handling done internally
Example scripts bundled in the SimpleCV directory
Tutorial page on the vendor site
Book: Practical Computer Vision with SimpleCV
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

How do SimpleCV and ScreenplayIQ compare feature by feature?

SimpleCV and ScreenplayIQ live in completely different domains, and their feature lists make that obvious. SimpleCV is a Pythonic wrapper around OpenCV: it exposes a Camera class for USB capture, binarization and thresholding, edge detection, keypoint detection and matching, color-space conversion, and drawing text or shapes onto images, plus an image display window and bundled example scripts. It handles the tedious parts — bit depths, file formats, color spaces, matrix operations — so a few lines of code produce usable vision output. It's explicitly framed for beginners, educators, and quick prototypes, and ships with a community forum and the book 'Practical Computer Vision with SimpleCV'. Note the stated limits in the profile: not for production-scale vision, deep learning, or mobile/web deployment.

ScreenplayIQ shares none of that surface. Its features are analytical and narrative: logline and synopsis generation, comparison to similar films and TV shows, story-point breakdowns, full assessment and theme breakdowns, character synopses, visual representations of characters, and character emotional-journey charts. It offers a proofread add-on with inline issue highlighting and recommended fixes, customizable analysis packages, page-length-based pricing for TV and feature scripts, secure siloed storage for uploads, WGA-compliant handling, and a commitment that analyzed stories aren't used to train LLM models. The overlap in 'features' between the two products is essentially zero — they don't compete, they complement no shared workflow.

Which is cheaper, SimpleCV or ScreenplayIQ?

SimpleCV is free and open source — there is no license fee, tier, or usage meter in the provided data. Your cost is your own setup and the time to install the library and run the included example scripts; there's no commercial support or SLA in the profile.

ScreenplayIQ is paid and priced per script, with page-length-based pricing that differs between TV and feature scripts, plus customizable analysis packages that scale with depth (Story Analysis; Story + Character; Full Evaluation). It is explicitly not a monthly subscription with unlimited analyses — the model is built so occasional users don't pay for idle months. There's no free full-featured tier, and a proofread add-on sits on top of the core packages.

The comparison is therefore apples-to-oranges: one is $0 software you run yourself, the other is a per-engagement professional analysis service. Cost predictability is also structurally different — SimpleCV's 'price' is fixed at zero regardless of volume, while ScreenplayIQ's bill scales with how many scripts you submit and how deep a package you pick. Buyers should judge each on its own terms, not against each other.

Who should pick SimpleCV, and who should pick ScreenplayIQ?

  • CS student or self-learner
    Pick: SimpleCV

    Free, beginner-oriented Python API with example scripts and binarization, edges, and keypoints lowers the barrier to learning computer vision.

  • Educator teaching intro CV
    Pick: SimpleCV

    Free and open source with a community forum and the accompanying book makes it easy to assign and demo in class.

  • Prototyper testing a camera idea
    Pick: SimpleCV

    USB capture via the Camera class plus drawing and color-space tools let you validate a concept in a few lines of code.

  • Screenwriter pre-rewrite
    Pick: ScreenplayIQ

    Per-script Story + Character or Full Evaluation gives objective structural and character notes before committing to a rewrite.

  • Producer triaging submissions
    Pick: ScreenplayIQ

    Loglines, similar-film comparisons, and story-point breakdowns give a fast, presentable read on market potential, with WGA-compliant handling.

Frequently Asked Questions

Do these two tools overlap at all?

No. One is a computer-vision library you run in Python; the other is a screenplay analysis service. There is no shared workflow, data type, or buyer — you would not replace one with the other.

Is the 'free vs paid' gap the real difference?

It's incidental. SimpleCV is free because it's open-source software; ScreenplayIQ is paid because it's a per-script professional service. Different funding models, not competing price tiers.

Who should not use SimpleCV?

Its own profile rules out production-grade large-scale vision, deep learning tasks, mobile or web deployment, and projects needing commercial support or an SLA.

Who should not use ScreenplayIQ?

The profile excludes writers wanting line-by-line editing or a developmental partnership, anyone expecting a monthly unlimited subscription, creatives seeking human taste and career guidance, and users who won't pay per script.

Can I get a subscription with ScreenplayIQ?

The data says no — pricing is per script with page-length-based rates for TV and feature scripts, deliberately not a monthly unlimited model.

Is my screenplay used to train models?

ScreenplayIQ states analyzed stories are not used to train LLM models and that uploaded scripts are stored in secure siloed storage with WGA-compliant handling.

Does SimpleCV need OpenCV installed separately?

SimpleCV integrates OpenCV under the hood; the profile says it wraps OpenCV into a simpler API rather than requiring you to use OpenCV directly.

Which should I learn first?

They're unrelated skills. If you want computer vision, start with SimpleCV; if you want screenplay feedback, go to ScreenplayIQ. There's no prerequisite order between them.

What else are SimpleCV and ScreenplayIQ compared with?

Where can you read more about SimpleCV and ScreenplayIQ?

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