Streva

What is Streva?

Streva is an AI translation and transcription app designed to work in real time while you write or speak on your computer. Its goal is to let you translate, dictate, and refine text inline—without interrupting the flow of composing in the apps you already use.

The site positions Streva as “intent-driven,” meaning it aims to use context (tone and intent) while converting speech into natural writing and translating content in a way that keeps messages coherent.

Key Features

• Inline, context-aware translation while you type or compose — translates where your cursor is, aiming to reduce copy/paste and workflow disruption.
• Intent-driven transcription and writing — converts spoken input into natural writing based on intent and tone, not just raw words.
• Contextually-aware formatting — adapts message formatting for the app context you’re using.
• Support for 100+ languages — enables communication across a wide set of language pairs.
• Dictionary personalization (via Pro) — includes the ability to personalize with a dictionary.

How to Use Streva

• Start with the free plan on macOS. The site indicates you can try Streva for free by signing in, with core dictation access.
• Use Streva while working in other apps. Streva “floats across your Mac,” so you can dictate, translate, or transform content directly into the app you’re writing in.
• Speak or dictate as you normally would. The transcription/translation output is intended to appear inline where your cursor lives, helping you keep composing without switching tools.
• If you need more volume or personalization, upgrade. The pricing page lists tiers (Basic vs Pro) with differences in word limits and availability of features like dictionary personalization.

Use Cases

• Email and messaging replies: While composing an email or Slack message, speak your reply and have Streva translate and format it inline so you can continue writing without leaving the draft.
• Meeting notes and action items: Dictate meeting content (e.g., “Meeting notes: decisions and next steps” or “Quick recap: action items and owners”) and use transcription to produce structured text.
• Cross-language conversation follow-ups: During or after a conversation, translate what someone said or draft a response using intent-driven transcription for natural-sounding results.
• Summarization and rewriting requests: Ask Streva to “summarize…in three bullets,” “make this clearer and more concise,” or “rewrite this to sound more professional,” then keep the result in your current editing location.
• Developer and technical note drafting: Convert spoken technical notes and follow-up questions into written text while maintaining nuance and jargon through context and intent handling.

FAQ

• Can I try Streva for free? Yes. The site says you can try the Free plan by signing in; there’s no credit card or commitment mentioned.

• Is Streva private and secure? The site states that in Private Mode, your audio and transcripts are processed only to complete the request and are not retained. It also says nothing is shared or sold.

• Which platforms does Streva support? Streva is described as a native macOS experience. The site says iOS and Windows support are on the roadmap.

• Will Streva work in any app? The site says Streva floats across your Mac, so you can dictate, transform, or translate directly into the apps you already use without copy/paste.

• How does Streva handle accuracy and context? The site describes using the latest speech recognition and large language models optimized for clarity and speed, with continuous real-time context interpretation to capture nuance, jargon, and intent.

Alternatives

• General-purpose voice dictation apps (speech-to-text): Useful if you only need transcription and manual translation/rewriting later. These typically don’t focus on inline, intent-driven translation across apps.
• Standalone translation tools or browser-based translators: Can translate text, but usually involve copying text out of your writing flow and translating elsewhere, unlike Streva’s cursor-based inline approach.
• AI writing assistants with translation features: Help with rewriting and language conversion, but may require you to paste content into a chat/editor workflow rather than generating results inline.
• Meeting transcription services: Focus on capturing audio into text after the fact; they may not provide the same inline, real-time translate-and-compose workflow.