Natural Language Processing

CloviNLP LIVE

Named entity recognition, PII detection and redaction, sentiment analysis — powered by spaCy and Presidio. Production-grade text processing via REST API or Python SDK.

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What it does

Extract meaning from unstructured text

CloviNLP provides production-ready natural language processing via simple REST endpoints. Identify people, organizations, and locations. Detect and redact personally identifiable information to meet compliance requirements. Analyze sentiment in user reviews, support tickets, or survey responses.

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Named Entity Recognition

Extract people, places, organizations

PERSON ORG GPE (cities, countries) DATE / TIME MONEY PRODUCT Custom entity types

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PII Detection & Redaction

Compliance-grade personally identifiable information handling

Email addresses Phone numbers SSN / National IDs Credit card numbers IP addresses Medical record numbers

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Sentiment Analysis

Positive, neutral, or negative classification

Document-level sentiment Sentence-level granularity Confidence scores Aspect-based sentiment

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Technology Stack

spaCy + Presidio + FastAPI

spaCy 3.7 (en_core_web_sm) Presidio Analyzer 2.2 FastAPI :9101 Python 3.12

Why CloviNLP

Built for compliance

PII detection and redaction is a compliance obligation for GDPR, HIPAA, and CCPA workflows. CloviNLP's Presidio-powered engine meets the privacy bar required for production use — detecting and redacting sensitive personal information before data is stored, shared, or analyzed.

How we compare

CloviNLP vs the alternatives

How a purpose-built text service compares with calling a general LLM or assembling your own stack.

Capability	CloviNLP	LLM-only processing	Roll-your-own
Deterministic entity extraction	Built in	Varies per call	You build it
Sensitive-data detection & masking	Built in	Partial	You build it
Runs on CPU, on your infra	Yes	Depends	Yes
No per-token cloud cost	Self-hosted	Per token	Self-hosted
REST API + Python SDK	Both	Varies	You build it
Part of the CloviTek stack	Native	No	No

Comparison of common approaches, as of 2026. Approaches vary; details may change.

Integrations

Connects to your stack

CloviNLP drops into data and backend pipelines as a text-processing step.

Text inSend raw text and get entities, redactions or sentiment back.Input

spaCy / PresidioProven open-source engines power extraction and redaction.Engine

REST APICall from any language over a simple HTTP interface.API

Python SDKNative integration for data and backend pipelines.SDK

CloviFlowUse text processing as a step inside CloviFlow automations.Automation

CloviGatewayProgrammatic, versioned access through the platform gateway.Gateway

Where it's going

Built to keep getting better

CloviNLP ships continuously. Here's what's live today, what's landing next, and where the product is headed.

Shipped

NER, redaction & sentiment

Named entity recognition and sentiment analysis
Sensitive-data detection and redaction
REST API and Python SDK for integration

Landing next

Breadth

More languages and custom entity types
Configurable redaction policies
Batch processing for large corpora

On the roadmap

Scale

Domain-tuned models
Streaming text pipelines
Per-tenant isolation for every customer's data

How it works

From text to structure in four steps

Send text, get entities, redactions or sentiment.

Send

Post your text

Send raw text to the REST API or Python SDK.

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Process

Engines run

spaCy and Presidio extract entities, detect sensitive data, or score sentiment.

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Get

Structured results

Receive entities, redacted text or sentiment scores as JSON.

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Use

Wire into pipelines

Feed clean, safe text into your data or backend pipeline.

Who it's for

Who CloviNLP is for

Text processing for the people who move data.

Data engineers

Clean text at scale

Entity extraction and redaction as a step in any data pipeline.

Pipelines

Backend developers

REST or SDK

Text processing behind a simple API or native Python.

Simple API

Compliance teams

Redaction you can trust

Detect and mask sensitive fields before they leak downstream.

Safe

Put to work

Put CloviNLP to work

What teams reach for CloviNLP to do.

Entity extraction

Pull people, orgs, places and more out of unstructured text.

Sensitive-data redaction

Find and mask sensitive fields before storage or sharing.

Sentiment analysis

Score tone across tickets, reviews or messages.

Pre-model sanitisation

Redact sensitive text before it ever reaches a model.

FAQ

Common questions

What is CloviNLP?

A production text-processing service — named-entity recognition, sensitive-data redaction and sentiment analysis — via REST API or Python SDK.

Is redaction included?

Yes. CloviNLP detects and masks sensitive fields in text so they never leak into downstream systems.

What powers it?

Proven open-source engines — spaCy for language processing and Presidio for detection and redaction.

How do I integrate it?

Call the REST API from any language, or use the Python SDK for native pipeline integration.

Natural Language Processing

Production-ready text processing

CloviNLP brings named entity recognition, PII detection, and sentiment analysis to your application via simple REST endpoints. Request access to the CloviNLP API.

Request Access