Loqua vs Thinking Orbs: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Loqua and Thinking Orbs — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Loqua

FlowMind Technology Inc.

Freemium

Desktop voice typing that turns speech into clean, structured text in any app, plus screenshot questions and voice editing.

Global Shortcut Dictation: One shortcut invokes Loqua in any app and drops text straight at the cursor, with no window switching or waiting.
Real-Time Cleanup: Filler words are removed, repetition is cut and phrasing is refined as you speak, so what lands on screen is ready to send.
Automatic Structure: Loqua hears the structure in your speech and builds lists, headings and hierarchy on its own instead of making you dictate formatting.
Mid-Sentence Translation: Speak one language and get natively phrased output in nearly 100 target languages, switching language mid-sentence.
Capture to Ask: Select a table, chart or any screen region, speak a question about it, and get an answer, analysis, translation or summary in place.
Ask & Edit: Highlight an existing draft, product description or note and revise it by voice rather than retyping.
Per-App Context Intelligence: Tone and formatting adapt to the app you are writing in, available on the Pro plan.
Privacy Defaults: Zero cloud data retention, on-device history storage, no training on user data, user-controlled dictation history, and GDPR compliance.

Clearing a Message Backlog: Dictate Slack, email and comment replies at speaking speed instead of typing them one by one.
Drafting Documents Hands-Free: Speak a structured draft into Notion, Google Docs or Word and get headings and lists built automatically.
Cross-Language Correspondence: Reply to a partner or customer in their language by speaking your own.
Understanding an Unfamiliar Screen: Capture a dense chart, table or error dialog and ask what it means without leaving the app.
Revising Copy by Voice: Highlight a product description or draft paragraph and speak the edit you want applied.
Coding Notes and Commit Messages: Dictate into a terminal, VS Code or IntelliJ where typing context-switches away from the code.

Yogesh

Free

Thinking Orbs is a lightweight React library of animated orb status indicators for AI interfaces such as thinking, searching and compacting.

State-Based Orbs: An Orb component with states like reasoning, searching, working, retrying, compacting and waiting to mirror what the agent is doing.
Zero Dependencies: The React orb needs nothing but React and the plain JS version needs nothing at all, at about 3.8 KB gzipped.
Customizable Props: Control variant, size, speed, density, dot size, tilt, pause and screen-reader label to fit any interface.
Opt-in Shapes and Renders: Import extra shapes like cube and renders like halftone separately so only used code is bundled.
Flexible Installation: Install from npm, pnpm, yarn or bun, or copy the component into a project with shadcn.
Tintable with CSS: Color orbs with text-* utility classes so they match the host UI theme.
Interactive Playground: A web playground to preview all states, shapes and renders before integrating.
llms.txt Support: Publishes an llms.txt so coding assistants can integrate the library correctly.

Chat Interface Status: Show a thinking or reasoning animation while an LLM responds.
Agent Progress Display: Indicate searching, working or background-task states in an agentic coding UI.
Context Compaction Feedback: Visualize compacting states when conversation history is summarized.
Retry and Waiting States: Signal retries or waiting-for-input states with distinct orb variants.
Design System Components: Add a polished AI loading indicator to an in-house React component library.
Prototype AI Products: Quickly drop a refined status animation into demos and prototypes.