spaCy Reviews

DebugTool Reviews

1. Ernesto Lasso

   · Design project manager at Sriservices · about 4 years ago
   Save time and deliver projects faster

   We work in an agency that develops websites mainly in WordPress, and regularly based on our experience over several years of working with multiple clients, we have discovered that one of the main problems between agency-client is communication, which often sometimes is tedious and fruitless, but now with the visual debugger is easy to point in the screen what needs to be changed and do it quickly. Also, we had a problem calculating how much our will cost our services for the customers according to the time spent on their projects but now with the "Time tracking" function, we can know exactly how much time was dedicated to the project and based on that invoice the client with greater certainty.

   I think this is a great solution for web designers that needs to clear all visual bugs of a website fast to deliver in less time and get more jobs quickly.

   🏁 Competitors: Webvizio, Atarim

   👍 Pros:    Easy to install|Very good money/value|Saves a ton of time

   👎 Cons:    New

spaCy mentions (65)

• The Sovereign Redactor — A Precision-Guided Privacy Airlock

  We use spaCy’s en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 3 months ago

• NER: Gemini vs Spacy vs Compromise

  For NER, if accuracy is critical, go with an LLM — even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 4 months ago

• Parsing Nutrition Labels with AI: From Image to Structured Data

  For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 5 months ago

• Building a Menu Scanner with OCR and AI

  For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 6 months ago

• Solved: Is there a better way to test subject lines besides random A/B tools?

  Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 7 months ago

DebugTool mentions (0)