Dev tools · alternatives · 2026

24 alternatives to CTRL+F

NLP API to find and replace named entities

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. CTRL+F launched in 2020; newer entries below may have overtaken it.

1. 1AE
   An easy-to-use Text Analysis API – NLP and Machine Learning▲153

   2014 · aylien.com · its alternatives →

2. 2
   NLP-API▲69

   Natural Language Processing tools REST API

   2023 · its alternatives →

3. 3
   Codeq Natural Language Processing API▲105

   State of the art text understanding for developers

   2018 · its alternatives →

4. 4
   Google Cloud Natural Language API▲513

   Natural language API using Google machine learning

   2016 · cloud.google.com · its alternatives →

5. 5
   TagTeam▲109

   Natural Language Processing API for unstructured text.

   2022 · tagteam.ai · its alternatives →

6. 6
   I made a free course, 'NLP for Semantic Search'▲239

   Learn how to build semantic search systems. From machine transition to question-answering.

   2021 · pinecone.io · its alternatives →

7. 7AL
   A labelling tool to easily extract and label Wikipedia data▲116

   Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…

   2021 · its alternatives →

8. 8
   An annotation tool for ML and NLP▲76

   The easy way to turn text into structure data

   2021 · getmarkup.com · its alternatives →

9. 9
   Chomp Food & Nutrition Database▲158

   API for grocery products, branded foods, & raw ingredients.

   2020 · chompthis.com · its alternatives →

10. 10
    Words API▲104

    An API for for the English language

    2015 · wordsapi.com · its alternatives →

11. 11
    LightTag▲71

    The text annotation tool for teams

    2020 · talperry.com · its alternatives →

12. 12
    HuggingFace – Fast tokenization library for deep-learning NLP pipelines▲168

    💥 Fast State-of-the-Art Tokenizers optimized for Research and Production - huggingface/tokenizers

    2020 · github.com · its alternatives →

13. 13
    Rules-based labelling tool for NLP▲55

    2021 · github.com · its alternatives →

14. 14WV
    We've developed a Natural Language API▲26

    2012 · dev.maluuba.com · its alternatives →

15. 15
    A NLP Library for Matching Parse Trees▲46

    Language Lego. Contribute to ayoungprogrammer/Lango development by creating an account on GitHub.

    2016 · github.com · its alternatives →

16. 16
    Dataherald▲126

    Embed NL-to-SQL into your product

    2024 · its alternatives →

17. 17
    CodeSnippetSearch▲75

    Query programming languages using natural language!

    2020 · codesnippetsearch.net · its alternatives →

18. 18
    Deep Talk▲104

    No-Code AI/NLP platform for text data analysis 🧠

    2022 · deep-talk.ai · its alternatives →

19. 19
    Calligram▲74

    Add natural language search in minutes

    2022 · its alternatives →

20. 20LA
    Lexiscore – a nutritional label for food for thought▲66

    2021 · paulbricman.com · its alternatives →

21. 21
    automl-docker▲68

    Open-source, easily create ready-to-use ML models for NLP

    2022 · github.com · its alternatives →

22. 22
    Titan NLP Suite▲74

    I know what you mean

    2023 · titanvx.com · its alternatives →

23. 23
    Allen NLP▲72

    An open-source NLP research library, built on PyTorch

    2017 · allenai.org · its alternatives →

24. 24NL
    Natural Language to SQL "Text-to-SQL" API▲62

    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 →

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 →