The 30x faster alternative to Microsoft Recognizers Text
Nevod pattern-based entity recognition with zero coding is 30 times faster than Microsoft Recognizers Text, while having 98% compatibility…
The 30x faster alternative to Microsoft Recognizers Text launched on May 13, 2021 with 5 votes, #1,624 of 3,505 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.
What it does
Nevod pattern-based entity recognition with zero coding is 30 times faster than Microsoft Recognizers Text , while having 98% compatibility according to unit tests. Microsoft Recognizers Text is a library for recognition and resolution of text entities like numbers, units, date/time, etc. The library is based on regular expressions and hand-coded algorithmic postprocessing. It is able to recognize date/time, numbers, URLs, emails, phone numbers and more. For date/time entities, it provides resolution - conversion of matched phrases in input text into programming language “date-time” object. Microsoft Recognizers Text is used in such services as LUIS: Language Understanding Intelligent…from blog.nezaboodka.com
Does a similar job
all alternatives →- NINevod is easier and faster than RegExp2019 · nevod.nezaboodka.com · ▲150
State-of-the-art German speech recognition in 284 lines of C++2022 · github.com · ▲231State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool. - DeutscheKI/tevr-asr-tool
- BVBenchmarking VLMs vs. Traditional OCR2025 · getomni.ai · ▲146
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
Build an open-source computer vision model in seconds using text2023 · usezeroshot.com · ▲64Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…
Patented Nevod technology for text search is now open source2021 · github.com · ▲33Nevod is a language and technology for pattern-based text search. - nezaboodka/nevod
Speech-to-Text API by Deepgram Nova2023 · deepgram.com · ▲110Next-Gen Speech-to-Text with Unmatched Performance
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