NeuroNER 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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NeuroNER or ScreenplayIQ: which should you choose?

DimensionNeuroNERScreenplayIQ
CategoryOpen-source NER toolkitScreenplay analysis SaaS
Primary userData scientists / NLP researchersScreenwriters / producers / studios
Core outputCustom NER models & API deploymentPDF analysis reports & box office prediction
Key integrationNone listedPitchTrailer
Maintenance signalOfficial site parked; docs/forums inaccessibleActive product with paid add-ons

Our NeuroNER vs ScreenplayIQ verdict written Sep 27, 2026 quotes $198, which no longer matches the verified price table, so it is being re-reviewed and is not shown.

NeuroNER
NeuroNER

An open-source named entity recognition toolkit for training custom models with neural networks.

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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
Freemium
Paid
Plans
CommunityFree
EnterpriseCustom
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPI
Categories
📊 Data & Analytics
📖 Fiction & Screenwriting
FeaturesNeuroNERScreenplayIQ
Pre-trained named entity recognition models
Custom model training with annotated data
Web-based annotation interface
Support for multiple entity types (person, organization, location, date)
TensorFlow-based deep learning backend
Deployment via API
Command-line interface for automation
Model export for production use
Active learning to reduce annotation effort
Evaluation metrics for model performance
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

What do real users say about NeuroNER 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.

NeuroNER

Discussed by users across 2 sources · 28% positive — critical (weighted across 2 sources)

YouTube, GitHub

What users praise

  • • Still produces solid NER accuracy on CoNLL-style datasets when correctly configured
  • • Built-in web annotation UI is genuinely useful for small labeled-data projects
  • • Open-source code under a permissive license, so you can fork and maintain it yourself
  • • BRAT-format compatibility lets you reuse existing annotated corpora without conversion

What frustrates them

  • • Official website is a parked domain, eliminating all official docs and downloads
  • • Open 2025 issue about missing glove.6B.100d.zip download has no maintainer answer
  • • Recent open issue about which I2B2 entity types are covered remains unresolved
  • • TensorFlow stack is dated, making modern Python environments painful to set up

Researched Oct 2, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Nov 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 NeuroNER, and who should pick ScreenplayIQ?

  • NLP engineer building a domain-specific entity extractor
    Pick: NeuroNER

    Custom training on annotated data, active learning, and API deployment are exactly what a self-hosted NER pipeline needs.

  • Data scientist evaluating pretrained NER before committing
    Pick: NeuroNER

    Pretrained models plus evaluation metrics let you benchmark entity extraction before investing annotation effort.

  • Screenwriter wanting marketability feedback on a feature script
    Pick: ScreenplayIQ

    Structural analysis, heatmaps, and comparative market data target feature-film viability, not line editing.

  • Producer weighing box office potential before greenlight
    Pick: ScreenplayIQ

    Box office prediction, genre classification, and PDF reports give quantitative support for slate decisions.

  • Ops team processing high-volume text documents
    Pick: NeuroNER

    CLI automation and API deployment fit batch, high-throughput entity extraction — provided you can absorb the maintenance risk.

Frequently Asked Questions

Is NeuroNER actively maintained?

The provided data notes the official website is a parked domain and documentation and community forums are inaccessible, which suggests the project may no longer be actively maintained. Plan for limited support.

Does ScreenplayIQ support TV scripts or short films?

No — the data states it is for feature films only and lists TV writers and short film creators under 'not for.' It also caps scripts at 150 pages.

Can I use NeuroNER without training a model?

Yes, pretrained models are listed, but the data flags that users wanting fully plug-and-play NER without any training are not the target audience.

How does ScreenplayIQ charge — subscription or per script?

Per analysis, approximately $24–$198 depending on script length and options. Add-ons like Pitch Materials, Proofread, and Table Read are priced separately.

Does ScreenplayIQ integrate with anything?

PitchTrailer is the listed integration, used for pitch trailer and audio-visual materials.

What backend does NeuroNER use?

TensorFlow, per the listed deep-learning backend. It also offers a command-line interface and model export for production.

What else are NeuroNER and ScreenplayIQ compared with?

Where can you read more about NeuroNER and ScreenplayIQ?

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Analysis generated by our model pipeline from live data: