Alternatives

Products that do what TagTeam does

Natural Language Processing API for unstructured text.

1. 1
   Codeq Natural Language Processing API▲105

   State of the art text understanding for developers

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2. 2
   Text Classification by MonkeyLearn▲151

   Simple and customizable text classification with AI

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3. 3
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   No-Code AI/NLP platform for text data analysis 🧠

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4. 4
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5. 5
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   Get your unstructured data AI-ready in minutes

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6. 6
   Lettria▲157

   Text processing for everybody

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7. 7
   l1m.io▲135

   The simplest API to get structured data from any LLM

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8. 8
   Text Summarizer AI▲140

   Summarize any text content in seconds for free

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9. 9
   wit.ai▲121

   Natural Language API

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10. 10
    Project Oxford▲301

    A catalogue of artificial intelligence APIs by Microsoft

    2015

11. 11
    docTI Custom Document Processing▲146

    Design tailored document processing APIs, deploy in minutes

    2024

12. 12
    MonkeyLearn▲140

    Get data from text using machine learning

    2014

13. 13
    Labelf AI▲137

    NLP Low code platform to train an AI with active learning

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14. 14
    Words API▲104

    An API for for the English language

    2015

15. 15AE
    An easy-to-use Text Analysis API – NLP and Machine Learning▲153

    2014 · aylien.com

16. 16
    Label Studio 1.8.0 Release▲185

    Open source data labelling platform for AI model tuning

    2023

17. 17
    Textalytic▲119

    Free point & click text analysis in the browser

    2018

18. 18
    Text Humanizer▲203

    Humanize any AI text content in seconds for free

    2024

19. 19
    Helix▲153

    Train your own AI with open-source AI and your data

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20. 20AL
    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…

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21. 21
    Agenty▲94

    Scraping, textract, ocr, sentiment analysis agents on cloud.

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22. 22
    Pretrained AI▲144

    Integrate pretrained machine learning models in minutes.

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23. 23
    R10s: AI Text Summarizer▲98

    Summarize smartly, AI insights in seconds

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24. 24
    Atomic▲140

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