NeuroNER vs ScreenplayIQ
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | NeuroNER | ScreenplayIQ |
|---|---|---|
| Category | Open-source NER toolkit | Screenplay analysis SaaS |
| Pricing model | Freemium (open source) | Paid, per-analysis ~$24–$198 |
| Primary user | Data scientists / NLP researchers | Screenwriters / producers / studios |
| Core output | Custom NER models & API deployment | PDF analysis reports & box office prediction |
| Key integration | None listed | PitchTrailer |
| Maintenance signal | Official site parked; docs/forums inaccessible | Active product with paid add-ons |
An open-source named entity recognition toolkit for training custom models with neural networks.
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AI screenplay analysis that delivers loglines, comparable titles, and character emotional journey charts per script.
Visit WebsiteWhat real users say: 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
34 mentions across 2 sources · 12% positive — critical (weighted across 2 sources)
YouTube, GitHub
What users praise
- • Still delivers state-of-the-art-style neural NER results for CoNLL-class tasks
- • Web-based annotation UI makes labeling your own training data approachable for non-ML researchers
- • Command-line interface and API export allow training, evaluation, and deployment without rewriting code
- • Active learning reduces the manual annotation burden, which is the biggest cost in custom NER
What frustrates them
- • neuroner.com is now a parked domain, so official documentation and support are gone
- • The glove.6B.100d.zip word-vector download link from the README is dead (open issue, May 2025)
- • No published mirror or replacement for the missing pre-trained-model assets
- • Built on an older TensorFlow, with no maintenance to keep pace with modern versions
Researched Sep 25, 2026
ScreenplayIQ
No verifiable community signal. We scanned public discussion on Sep 29, 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.
Feature-by-feature
The feature sets serve entirely different jobs. NeuroNER is an NLP engineering toolkit: pretrained NER models, custom training on annotated data, a web-based annotation interface, active learning to reduce labeling effort, multiple entity types (person, organization, location, date), a TensorFlow deep learning backend, CLI automation, evaluation metrics, model export, and deployment via API. The value is in producing and shipping a model you control. ScreenplayIQ is an analyst for narrative: AI structural analysis, beat sheet generation, a visual heatmap of dialogue and pacing, character arc and emotional journey charts, genre classification, comparative market data, and box office performance prediction with PDF report export. It adds PitchTrailer integration for pitch materials, a collaborative workspace up to 5 users, custom genre templates, and API access. In short, NeuroNER extracts entities from arbitrary text; ScreenplayIQ judges whether a script will sell. Neither overlaps the other's capability, so a feature-for-feature comparison isn't meaningful — only a fit decision is.
Pricing compared
NeuroNER is freemium: open-source software you self-host, with no per-seat or per-analysis fee listed. Your real cost is compute and labor — annotating training data and running TensorFlow training. The catch is operational, not financial: the official site is a parked domain and documentation and community forums are inaccessible, so you inherit maintenance risk. ScreenplayIQ is a paid, per-analysis model rather than a subscription, with prices ranging roughly $24–$198 depending on script length and feature depth. Add-ons like Pitch Materials, Proofread, and Table Read are separate; the collaborative workspace covers up to 5 users. Scripts over 150 pages aren't supported (stated AI context-window limitation), so longer drafts fall outside the pricing tiers entirely. If your budget is time, NeuroNER is cheap to license and expensive to operationalize; if your budget is cash, ScreenplayIQ is predictable per project but you pay each time you analyze.
Who should pick which
- NLP engineer building a domain-specific entity extractorPick: 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 committingPick: NeuroNER
Pretrained models plus evaluation metrics let you benchmark entity extraction before investing annotation effort.
- Screenwriter wanting marketability feedback on a feature scriptPick: ScreenplayIQ
Structural analysis, heatmaps, and comparative market data target feature-film viability, not line editing.
- Producer weighing box office potential before greenlightPick: ScreenplayIQ
Box office prediction, genre classification, and PDF reports give quantitative support for slate decisions.
- Ops team processing high-volume text documentsPick: 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.
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Last reviewed: September 27, 2026