Press a hotkey anywhere on your system, speak naturally, and Telvr transcribes your voice in real-time using Whisper. The finished text is automatically inserted at your cursor position — no copy-paste, no app switching.

Which languages are supported?

Telvr supports 50+ languages via OpenAI's Whisper large-v3 model. Language detection is automatic — just speak in your preferred language and Telvr handles the rest.

Do I need a subscription?

No. Telvr uses a pay-as-you-go model: EUR 3 per month infrastructure fee plus EUR 0.03 per minute of usage. No lock-in, no auto-renewal. You top up your balance and use it at your own pace.

Does Telvr work offline?

Currently, Telvr requires an internet connection for cloud-based transcription via Groq. A Community Edition with local processing using your own API key is planned for the future.

Which apps are supported?

Telvr works system-wide — it inserts text at the cursor position in any application. Email clients, chat apps, code editors, browsers, word processors — if you can type in it, Telvr works there.

All data is transmitted via TLS encryption. Audio recordings are not permanently stored after transcription. Groq processes your audio under a Data Processing Agreement (DPA). We do not sell or share your data.

← Blog2026-02-26

Best Speech-to-Text Apps 2026: Complete Guide

The Voice Input Landscape in 2026

Speech-to-text has moved from a niche accessibility feature to a mainstream productivity tool. The market now includes everything from free OS-built-in options to enterprise-grade dictation platforms. But not all solutions are equal, and the differences matter more than ever.

The key dividing lines are: accuracy on real-world speech (not just clean recordings), latency (how long you wait after speaking), integration depth (where it works), and whether the output is raw transcription or AI-processed text.

This guide covers every major option in 2026 with honest assessments of each.

The Contenders at a Glance

| Tool | Platform | Price | Latency | AI Enrichment | |---|---|---|---|---| | Telvr | macOS (Win coming) | EUR 3/mo + EUR 0.03/min | Under 2s | Yes (6 modes) | | Wispr Flow | macOS | $14/mo | Under 2s | Yes | | Apple Dictation | macOS/iOS | Free | 1-3s | No | | Dragon Professional | Windows | $699 one-time | Under 1s | No | | Google Voice Typing | Android/Chrome | Free | 1-2s | No | | Windows Voice Typing | Windows | Free | 1-3s | No | | Otter.ai | Web/Mobile | Free–$40/mo | Async | Meeting-focused | | Deepgram | API/Developer | $0.0043/min | Configurable | No (raw API) |

Telvr

Telvr is a desktop push-to-talk app that combines Whisper large-v3 transcription via Groq's inference API with a layer of AI post-processing. The result is a tool that does not just transcribe — it transforms your speech into formatted, usable text.

How it works: Hold a configurable hotkey anywhere on your desktop, speak, release, and text appears at your cursor position within about two seconds. No window switching. No copy-pasting.

Six enrichment modes cover the most common text creation tasks: Raw Transcription, Clean and Correct (removes fillers, fixes grammar), Professional Email, Meeting Notes, 2-3 Sentence Summary, and Dev Task. A Custom Prompt mode lets you define your own transformation.

Language support covers 50+ languages with automatic detection. You do not need to specify the language — Whisper large-v3 identifies it from your speech.

Pricing is transparent: EUR 3 per month for infrastructure, plus EUR 0.03 per minute of dictation. A 14-day free trial includes EUR 3 starter credit. For typical usage of 30-60 minutes per month, the total cost is EUR 4-5.

Best for: Developers, writers, professionals who work across multiple apps and want system-wide voice input with AI formatting.

Wispr Flow

Wispr Flow takes a similar approach to Telvr: push-to-talk with AI processing. It is macOS-only, priced at $14 per month, and has a polished interface.

The main differentiator is the "flow" mode, which attempts to make dictation feel more natural by handling longer pauses and partial thoughts. The AI output quality is high, particularly for email and message contexts.

Limitations: No Windows support. The pricing is fixed monthly regardless of usage, which makes it expensive for light users. No custom prompt mode.

Best for: Mac users who dictate frequently and want a polished experience at a predictable monthly price.

Apple Dictation

Built into every Mac and iPhone, Apple Dictation is the zero-friction starting point for voice input. It works in any app that supports text input, processes on-device for short phrases (with optional server processing for longer text), and costs nothing.

Accuracy is solid for English in clean environments. It handles most everyday vocabulary well but struggles with technical terms, proper nouns, and mixed-language input.

Limitations: No AI enrichment — output is raw transcription. Punctuation requires verbal commands ("comma", "period"). No enrichment modes. Accuracy drops for non-English languages compared to Whisper-based tools.

Best for: Casual voice input, users who need zero setup, iOS/macOS ecosystem users.

Dragon Professional

Dragon remains the legacy leader in desktop dictation, particularly on Windows. The Professional edition at $699 one-time has been trained on professional vocabulary and can handle specialized terminology in fields like law and medicine.

Accuracy is excellent for English with any accent, particularly after voice training. The custom vocabulary feature is unmatched for specialized use cases.

Limitations: Windows only (Dragon for Mac was discontinued). The one-time price is high. No AI text enrichment — it transcribes exactly what you say. The interface feels dated compared to modern alternatives.

Best for: Professionals with specialized vocabulary needs, particularly in law, medicine, or finance on Windows.

Google Voice Typing

Available on Android and in Chrome browser on any platform, Google Voice Typing offers excellent accuracy for its price (free). It benefits from Google's massive training data and handles informal speech well.

Limitations: Browser-based on desktop — it does not work as a system-wide input method. No enrichment. Privacy considerations with Google processing.

Best for: Android users, Chrome browser users, anyone needing free voice input in web applications.

Windows Voice Typing

Built into Windows 10 and 11, accessible via Win+H, Windows Voice Typing has improved significantly since its introduction. It works in most Windows text fields and supports real-time auto-punctuation in recent versions.

Limitations: Limited language support compared to Whisper-based tools. No AI enrichment. Does not work outside of Windows text fields. Accuracy below Dragon or Telvr for complex content.

Best for: Windows users who need occasional voice input without installing anything.

Otter.ai

Otter.ai approaches the problem differently: it records and transcribes meetings, creating searchable notes with speaker identification. Rather than a typing replacement, it is a meeting documentation tool.

Limitations: Not a system-wide input method. Primarily async — you record, then get a transcript. Speaker identification requires training.

Best for: Professionals who need automatic meeting transcription, not a keyboard replacement.

Deepgram

Deepgram is a developer-focused speech API, not a consumer product. It offers one of the fastest transcription APIs available, with Nova-3 model accuracy competitive with Whisper, at $0.0043 per minute.

Limitations: Requires building your own integration. No out-of-the-box desktop app or enrichment layer.

Best for: Developers building voice-enabled applications, pipelines requiring high-volume transcription.

Recommendations by Use Case

For desktop productivity (system-wide voice input): Telvr or Wispr Flow. Both offer push-to-talk with AI enrichment. Telvr is more affordable for moderate usage; Wispr Flow has a fixed monthly price that suits heavy users.

For Windows professionals with specialized vocabulary: Dragon Professional remains the standard.

For free, zero-setup dictation on Mac: Apple Dictation handles casual use well.

For meeting documentation: Otter.ai or Fireflies.ai are purpose-built for this use case.

For developers building voice features: Deepgram (fastest API) or Whisper (open-source).

What to Look For in 2026

The bare minimum for a serious speech-to-text tool in 2026:

Under 2 seconds end-to-end latency
System-wide text insertion (not just supported apps)
50+ language support with auto-detection
Some form of AI post-processing to clean output

Raw transcription tools without enrichment create as much editing work as they save. The tools that combine fast transcription with intelligent formatting are the ones that actually improve daily productivity.