Stanford CoreNLP
A Java library for extracting linguistic information from text
- Also known as
- stanford-corenlp
What is Stanford CoreNLP?
An open-source toolkit that automatically identifies linguistic features in text, including word and sentence boundaries, parts of speech, named entities, temporal expressions, syntactic structure, pronoun resolution, sentiment, and relations. Supports 8 languages and outputs structured data via a programmatic API.
Stanford CoreNLP pricing
We don't have Stanford CoreNLP's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Stanford CoreNLP does
The capabilities that matter for nlp apis, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Custom model training
- -
- Domain specific models
- -
- Deployment model
- Self hostable
- Batch processing
- -
- Real time latency
- -
- Embeddings endpoint
- -
- Data residency EU
- -
- Open source
- ✓
- Pricing model
- Open source self host
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Stanford CoreNLP FAQ
Common questions about Stanford CoreNLP, answered from independent, dated evidence.
What is Stanford CoreNLP?
An open-source toolkit that analyzes text to extract linguistic features including word boundaries, grammatical tags, entities, dependency relationships, and semantic properties, supporting eight languages. It is indexed under NLP Apis.
Is Stanford CoreNLP free to use?
Stanford CoreNLP is open source, so it can be self-hosted and used at no licence cost. It is released under the GPL-3.0 licence. Pricing changes often, so verify at source before relying on it.
What platforms does Stanford CoreNLP support?
Stanford CoreNLP supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can Stanford CoreNLP be self-hosted?
Yes. Stanford CoreNLP can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Is Stanford CoreNLP open source?
Yes. Stanford CoreNLP is published under the GPL-3.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Stanford CoreNLP alternatives
Other nlp apis we track, ranked by the same independent score.
- CohereEnterprise AI that you fully control and deploy according to your requirementsmedium · 55%
- NLTKlow · 25%
- TextRazorNLP API for extracting meaning and understanding from textlow · 24%
- spaCyProduction-grade Python library for natural language processinglow · 39%
- Amazon ComprehendManaged natural language processing service for analyzing text and extracting structured insightsmedium · 54%
- Hugging Face TransformersAn open-source library for building and working with pre-trained transformer models for natural language, vision, audio, and multimodal tasks.low · 5%
Compare Stanford CoreNLP
Side by side against other nlp apis, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Stanford CoreNLP, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 62 | 0.14 | 8.3 | ✓ |
| Stars | 76 | 0.05 | 3.6 | ✓ |
| Release cadence | 45 | 0.08 | 3.6 | ✓ |
| Capabilities | 29 | 0.08 | 2.3 | ✓ |
| Security score | 38 | 0.05 | 2.1 | ✓ |
| Dependent projects | 15 | 0.05 | 0.8 | ✓ |
| Integrations | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 91 | mediumsource · 2026-10-15 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source: Yes · Pricing model: open-source-self-host · Deployment model: self-hostable | mediumsource · 2026-10-15 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Java | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | GPL-3.0 | highsource · 2026-10-15 · 95% |
Pricing
Release
Security
Is Stanford CoreNLP the right choice for you?
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