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NLP Cloud

nlpcloud.com

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Spec score 9.1 #3 of 20 in AI Sentiment Analysis Software

What it is

NLP Cloud provides web access to natural language processing capabilities through an API. Listed functions include emotion detection, aspect-based sentiment analysis, and custom categories. Its Free plan allows two parallel requests. Pay-As-You-Go allows 10 parallel requests, is billed at $0 / month plus usage, and is invoiced after the fact. Other plans vary in concurrency and model-specific request rates: Starter lists 10 parallel requests and 10 CPU requests per minute for Bart Large CNN; Full lists 20 parallel requests and 30 CPU requests per minute; Enterprise lists 40 parallel requests and 200 CPU requests per minute. GPU plans specify request rates for Whisper, GPT-OSS 120B, and LLaMA 3. Listed daily billing amounts range from $3.5/day for Starter GPU to $23/day for Enterprise GPU, while Large Language Models is listed at $80/day. NLP Cloud was founded in 2020 and is headquartered at 447 Broadway in New York City. The available plan limits provide a way to choose based on parallel request capacity and listed model rates.

Spec sheet

What it does
NLP Cloud provides hosted REST APIs for pre-trained and custom language and generative AI models.Read 15 Oct 2026 · nlpcloud.com
Integrations
The API documentation lists official client libraries for Python, Ruby, Go, Node.js and PHP.Read 15 Oct 2026 · docs.nlpcloud.com
Headquarters
447 Broadway, New York City, United StatesRead 23 Sep 2026 · nlpcloud.com
Founded
LinkedIn states that NLP Cloud was founded in 2020.Read 15 Oct 2026 · linkedin.com
API authentication
API calls require HTTPS and a token supplied in the Authorization header.Read 15 Oct 2026 · docs.nlpcloud.com
API limits
When a quota or rate limit is reached, the service returns HTTP 429 and advises retrying later.Read 15 Oct 2026 · docs.nlpcloud.com
Company headquarters
LinkedIn lists headquarters at 447 Broadway Street, New York, NY 10013, United States.Read 15 Oct 2026 · linkedin.com
Company size
LinkedIn lists NLP Cloud as a self-owned software-development company with 11–50 employees.Read 15 Oct 2026 · linkedin.com
Data handling
The company says it cannot see customer data, does not store it and does not use it to train its own models.Read 15 Oct 2026 · nlpcloud.com
Documentation depth
The documentation covers installation, authentication, versioning, models, fine-tuning, custom-model uploads, GPU use, multilingual processing, asynchronous mode, endpoints, teams, rate limiting and errors.Read 15 Oct 2026 · docs.nlpcloud.com
Feature: asynchronous processing
The API offers asynchronous requests for large inputs, with results retained for 48 hours before automatic deletion.Read 15 Oct 2026 · docs.nlpcloud.com
Feature: custom models
Customers can fine-tune supported models or upload their own Hugging Face Transformers and spaCy models for deployment.Read 15 Oct 2026 · docs.nlpcloud.com
Feature: semantic search
Users can create semantic-search or retrieval-augmented models from their own documentation, contracts or other domain data.Read 15 Oct 2026 · nlpcloud.com
Feature: speech recognition
Its automatic speech recognition endpoint transcribes audio or video, detects language, adds punctuation and word timestamps, and supports 100 languages.Read 15 Oct 2026 · nlpcloud.com
Feature: translation
The translation service uses NLLB 200 and advertises translation across 200 languages with automatic input-language detection.Read 15 Oct 2026 · nlpcloud.com
Founder and legal name
Crunchbase lists Julien Salinas as founder and CTO and gives the legal name as NLP Cloud.Read 15 Oct 2026 · crunchbase.com
Funding and ownership
Crunchbase describes NLP Cloud as private and lists no disclosed funding amount; a 2022 interview characterized the business as bootstrapped.Read 15 Oct 2026 · sramanamitra.com
Limit: GPU pricing
G2 reviewers repeatedly say GPU plans can become expensive as usage grows and some would prefer lower rates.Read 15 Oct 2026 · g2.com
Limit: model quality and latency
G2 reviews mention slower responses from some large transformer endpoints and occasional output inaccuracies or weaker domain-specific accuracy.Read 15 Oct 2026 · g2.com
Limit: training workflow
G2 reviewers note that some custom models must be trained outside the platform and then uploaded because in-platform training options are limited.Read 15 Oct 2026 · g2.com
Notable news: multilingual add-on
A 2023 LinkedIn announcement said NLP Cloud made its models available in 200 languages without an additional multilingual charge.Read 15 Oct 2026 · linkedin.com
On-premise deployment
Most models can run on a customer's isolated servers without an internet connection, with engineers available to assist deployment.Read 15 Oct 2026 · nlpcloud.com
Praise: API usability
G2 reviewers repeatedly praise the clean, simple API and easy integration for deploying NLP models without managing serving infrastructure.Read 15 Oct 2026 · g2.com
Praise: speed and reliability
G2 reviewers commonly describe inference as fast or reliable enough for real-time and production workloads.Read 15 Oct 2026 · g2.com
Praise: support
Several G2 reviewers describe NLP Cloud support as responsive and helpful.Read 15 Oct 2026 · g2.com
Python installation
The official Python SDK installs with pip using the package name nlpcloud.Read 15 Oct 2026 · github.com
Rating on Capterra
0.0 out of 5 from 0 user reviewsRead 15 Oct 2026 · capterra.com
Rating on G2
4.3 out of 5 from 13 reviewsRead 15 Oct 2026 · g2.com
SDK licence
The official Python client repository is publicly available under the MIT licence.Read 15 Oct 2026 · github.com
Security and compliance
NLP Cloud states that it is HIPAA, GDPR and CCPA compliant and is working toward SOC 2 certification.Read 15 Oct 2026 · nlpcloud.com
Security controls
The security page describes encrypted long-term storage, PBKDF2-SHA256 password hashing, restricted administrator access, backups and external penetration tests.Read 15 Oct 2026 · nlpcloud.com
System requirements
NLP Cloud says most models work without a GPU, but its largest generative models require or strongly benefit from GPU hardware for prompt responses and throughput.Read 15 Oct 2026 · nlpcloud.com

Plans and prices

Free Free billed monthly 2 parallel requests Read 21 Sep 2026 · nlpcloud.com
Large Language Models Priced on request $80/day shown on the pricing page 50 parallel requests · 50 GPU requests per minute for Whisper · 350 GPU requests per minute for GPT-OSS 120B and LLaMA 3 Read 21 Sep 2026 · nlpcloud.com
Free Free $0 2 parallel requests · variable rate limits · pre-trained models Read 15 Oct 2026 · nlpcloud.com
Pay-As-You-Go Free $0 / month + usage 10 parallel requests · CPU $0.003/request · GPU $0.005/request · $15 initial credit · asynchronous mode Read 15 Oct 2026 · nlpcloud.com
Starter $29 a month $29/month ($1/day) 10 parallel requests · CPU pre-trained models Read 15 Oct 2026 · nlpcloud.com
Full $59 a month $59/month ($2/day) 20 parallel requests · CPU pre-trained models Read 15 Oct 2026 · nlpcloud.com
Starter GPU $99 a month $99/month ($3.5/day) 10 parallel requests · GPU rate limits by model Read 15 Oct 2026 · nlpcloud.com
Full GPU $199 a month $199/month ($7/day) 20 parallel requests · GPU rate limits by model Read 15 Oct 2026 · nlpcloud.com
Enterprise $229 a month $229/month ($7/day) 40 parallel requests · CPU pre-trained models Read 15 Oct 2026 · nlpcloud.com
Basic Fine-tuning $399 a month $399/month ($13/day) 1 deployed model · 1 dedicated server · 1,024-token context · 5 parallel requests · 3 fine-tunings included monthly Read 15 Oct 2026 · nlpcloud.com
Enterprise GPU $699 a month $699/month ($23/day) 40 parallel requests · GPU rate limits by model Read 15 Oct 2026 · nlpcloud.com
Advanced Fine-tuning $990 a month $990/month ($33/day) 1 deployed model · 1 dedicated server · 16,384-token context · 20 parallel requests · 3 fine-tunings included monthly Read 15 Oct 2026 · nlpcloud.com

Every NLP Cloud plan and price →

Strong points and limits

Strong points

  • Free plan allows two parallel requests
  • Pay-As-You-Go includes 10 parallel requests
  • Lists model-specific CPU and GPU request rates
  • Offers emotion detection and aspect-based sentiment

Limits

  • Pay-As-You-Go adds usage charges
  • Free plan is limited to two parallel requests
  • Plans list differing request rates and concurrency

Who it suits

It suits developers or teams seeking API access to emotion detection, aspect-based sentiment, or custom categories. The plan details are relevant for users comparing parallel request capacity and model-specific rates.

Verdict

NLP Cloud specifies concurrency and model request limits across its plans, alongside a free option and usage-based Pay-As-You-Go. Check the relevant plan’s rates for the models and request volume you need.

Where Specifiction places it

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