Eleven Labs Reviews

1. Mikaelj

   about 1 month ago

   Eleven Labs has easily become one of the most impressive voice AI tools I've used. The quality of the voices is remarkably natural, and it's been great for experimenting with narration and audio content. Whether for quick prototypes or polished projects, it consistently delivers results that sound surprisingly human.

2. Denis

   · CEO and founder at Food Storage Guide · 4 months ago
   One of the most realistic AI voice generators, but not perfect for full control

   I’ve been using ElevenLabs for generating voiceovers and testing different AI audio workflows, and it’s easily one of the most impressive tools in this space right now. The biggest strength is the voice quality — the output sounds very natural and expressive, often closer to real human speech than most alternatives. It handles pacing, tone, and even subtle emotions quite well, which makes it useful for content creation, demos, and narration. Another strong point is the voice cloning and multilingual support. You can generate voices in different accents and languages довольно быстро, and the setup process is simple even for non-technical users. However, it’s not perfect. Fine-grained control over tone, pauses, and pronunciation can still be limited in some cases, and you may need to tweak or regenerate outputs multiple times to get exactly what you want. Overall, ElevenLabs is a powerful and practical tool, especially if you need fast, high-quality voice generation without recording audio manually.

   🏁 Competitors: Vocallab AI

   👍 Pros:    Extremely realistic and natural-sounding voices|Strong emotional expression compared to competitors|Voice cloning works well|Supports multiple languages and accents|Api available for developers

   👎 Cons:    Limited fine control over tone, pauses, and delivery|Sometimes requires multiple generations to get perfect output|Occasional pronunciation issues|Pricing based on usage can add up
3. YasminAx

   about 1 year ago
   Great Voices - love it

   so realistic and affordable

   👍 Pros:    Affordable price

   👎 Cons:    Subscription-based pricing model

iPython Reviews

Eleven Labs mentions (114)

• The Text Field is the New Dashboard

  The guy: Matthew Gallagher, 41. He spent $20,000 and two months building Medvi, a GLP-1 weight-loss telehealth company, from his living room in Los Angeles. The stack: ChatGPT, Claude, and Grok writing code. Midjourney for images. Runway for video ads. ElevenLabs handling customer calls. Custom AI agents stitching it all together. His only full-time hire was his brother. - Source: dev.to / 2 months ago

• Build an AI teammate to help with your Postgres

  In this tutorial, we build exactly that kind of AI teammate. Instead of piecing together complex infrastructure (audio pipelines, transcription, NLP, TTS, avatars), we'll use Vision Agents to tie everything together, using Stream's WebRTC APIs, and give the AI both a voice and a human-like video presence using ElevenLabs voice and Anam avatars. The system we’ll create can listen, query Postgres, and respond during... - Source: dev.to / 3 months ago

• I Added a Fully AI-Generated Lane Defense Game to My Self-Building Website

  Sound effects — Thorn fire and impact SFX generated via ElevenLabs sound generation API. - Source: dev.to / 3 months ago

• How I Got Caller ID Working in Canada Using RingCentral, Twilio, and ElevenLabs

  ElevenLabs is “the most realistic voice AI platform” (their words), and it really is fantastic. I have been using it to automatically call people, leave messages, and run outbound phone workflows. Since the business already had a Twilio number, I used [ElevenLabs' Twilio starter kit(https://github.com/elevenlabs/elevenlabs-examples/tree/main/examples/conversational-ai/twilio/javascript) for outbound calling. - Source: dev.to / 7 months ago

• Build an AI Math & Physics Agent with DeepSeek v3.2

  ElevenLabs (STT component to speak to the agent and TTS to hear from the agent). - Source: dev.to / 7 months ago

iPython mentions (20)

• Top 5 GitHub Repositories for Data Science in 2026

  The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 10 months ago

• Modern Python REPL in Emacs using VTerm

  As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago

• Wanting to learn how to code, but completely lost.

  Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago

• IJulia: The Julia Notebook

  IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago

• How to "end" a loop in the REPL?

  Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago