AI · alternatives · 2026
24 alternatives to API to detect abusive content in 27 languages
Hello HN, I am Vadim of Tisane Labs (http://tisane.ai). We build text analytics APIs. My natural language processing journey started over a decade ago, when I built an NLP engine with an emphasis on scalability across languages. The engine served as a foundation of a startup I cofounded in 2010 (https://en.wikipedia.org/wiki/LinguaSys), which had Mark Cuban as an investor and was acquired in 2015. Utilizing our expertise, we're trying to tackle one of the most painful issues with the Internet today: abusive content. Hate speech, sexual harassment, cyberbullying…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. API to detect abusive content in 27 languages launched in 2018; newer entries below may have overtaken it.
- 1
Tisane API▲205Detect hate speech, cyberbullying, and more in 27 languages
2018 · tisane.ai · its alternatives →
- 2
Perspective▲500Technology to fight abuse online, new from Alphabet
2017 · perspectiveapi.com · its alternatives →
- 3
Check spelling, parse hashtags, deobfuscate in 20+ languages
2019 · tisane.ai · its alternatives →
- 4
Natural language API using Google machine learning
2016 · cloud.google.com · its alternatives →
- 5
First TTS model to support all 22 Indic languages + English
2024 · its alternatives →
- 6SA
Hey all, author here! This is a demo of the rules engine we built to fight spam/abuse on the internet. It was built based on learnings from Facebook & Google, while trying to make a language that makes it simple for anti-spam analysts to quickly (and safely) deploy rules to production. Unfortunately it looks like the Twitter event feed is temporarily down (they're blocking it, possibly as part of shutting down the API on Thursday). I have a cache of events from a little earlier that I'm going to try play through the stream.
2023 · websqrl.vercel.app · its alternatives →
- 7
I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io · its alternatives →
- 8
Detect with confidence, your ultimate AI detector
2023 · moxby.com · its alternatives →
- 9
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production - huggingface/tokenizers
2020 · github.com · its alternatives →
- 10
Profanity & toxicity detection for user-generated content
2021 · rapidapi.com · its alternatives →
- 11
Free toxicity detection for content moderation via AI
2022 · moderatehatespeech.com · its alternatives →
- 12
The problem with existing content moderation: Every developer who's built profanity filtering knows the frustration. Traditional filters either flag "assistant" because it contains "ass," or miss obviously toxic content because they're just matching keywords. They can't tell the difference between "I'll destroy you in this game" (friendly trash talk) and an actual threat. How The Profanity API solves this: I built a 5-layer detection pipeline that analyzes content progressively: Blocklist (L0): Your custom blocklist for instant flagging Static (L1): Exact match against known profanity…
Jan 2026 · the-profanity-api.com · its alternatives →
- 13
State of the art text understanding for developers
2018 · its alternatives →
- 14AE
2014 · aylien.com · its alternatives →
- 15
TagTeam▲109Natural Language Processing API for unstructured text.
2022 · tagteam.ai · its alternatives →
- 16
- 17NL
Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
2024 · dataherald.com · its alternatives →
- 18
- 19
Deep Talk▲104No-Code AI/NLP platform for text data analysis 🧠
2022 · deep-talk.ai · its alternatives →
- 20
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…
2023 · github.com · its alternatives →
- 21
Tantivy▲68A full-text, horse-speed search engine library in Rust
2022 · github.com · its alternatives →
- 22
Toxic-Language Detection Model built with machine learning
2020 · endpoints.ai · its alternatives →
- 23WV
2012 · dev.maluuba.com · its alternatives →
- 24LA
Hi HN, I made Lingo - the SQLite of semantic search. I'm a self-taught developer and researcher who left school at 16, and I've spent some time exploring a first-principles approach to system design for various frontier problems. In this case it's AI that challenges the 'bigger is better' transformer paradigm. Lingo is the first piece of that research, a high-performance linguistic database designed to run on-device. The full technical overview and manifesto is here: https://medium.com/@robm.antunes/bcd1e9752af6 The paper has been archived on Zenodo with a DOI:…
2025 · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →