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

GitHub CLI 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

GitHub CLI mentions (141)

• 11 Ways to supercharge your workflow with GitHub Copilot

  Install GitHub CLI and run gh copilot to get AI command help, verify syntax, and simplify GitHub workflows from the shell. It’s a great way to keep working in one place while still getting quick guidance on commands and workflow steps. - Source: dev.to / 9 days ago

• Meet octoscope — your GitHub profile, at a glance, in your terminal

  Gh auth token — if the GitHub CLI is installed and logged in. - Source: dev.to / 3 months ago

• How to Stop Drowning in Giant Pull Requests With Stacked PRs

  Since gh-stack is a gh CLI extension, you'll need the GitHub CLI installed first:. - Source: dev.to / 3 months ago

• GitHub PR Checkout: Two Methods That Actually Work

  Install the GitHub CLI, authenticate once with gh auth login, then:. - Source: dev.to / 3 months ago

• Introducing codespaces.el: The Best Way to Use GitHub Codespaces

  Have the GitHub command line tools (gh) installed If you use use-package-ensure-system-package, Emacs can install this for you automatically: (use-package use-package-ensure-system-package :ensure t) (use-package codespaces :ensure-system-package gh :config (codespaces-setup)) Enter fullscreen mode Exit fullscreen mode. - Source: dev.to / 5 months ago