Milliseconds.ai vs Willow on IOS: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Milliseconds.ai and Willow on IOS — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Milliseconds.ai
CloudRaker
A small decision model served over a REST API that returns typed labels, scores, spans, and JSON fields from text or images in milliseconds.
Key features
- Typed Decision Endpoints: Eight purpose-built routes — yes-no, classify, classify-tree, rate, answer, extract, entities, and verify — each returning structured JSON rather than free text, so application code can branch on the result immediately.
- Sub-Second Latency: A decision returns in about 90 milliseconds, answer calls in 0.3–0.9 seconds, and extraction in 2.5–3.5 seconds at medium detail, making the model usable inside request paths rather than background jobs.
- Calibrated Probabilities: Responses include per-label probabilities and a confidence value, so near-ties surface as uncertainty your application can route to a human instead of acting on silently.
- Schema-Driven Extraction: Send a JSON Schema and get back a filled object — up to five fields per extract call — ready for validation before writing to a record.
- Image Input: Send JPEG, PNG, or WebP images up to 5 MB as bytes, a data URL, or base64, billed as a fixed token count set by the detail level you request, with no image storage retained.
- Answer Spans with Offsets: The answer capability returns the exact text span plus start and end offsets, so an application can highlight where in the source the answer came from.
- SDKs and CLI: Hand-written TypeScript (@cloudraker/milliseconds) and Python (cloudraker-milliseconds) SDKs plus a dm1 CLI, where label names, scale levels, and schemas flow into the result type so a misspelled label is a compile error.
- Free Test Tier: Test keys carry 125 million free input tokens a month with no card required, at 30 requests and 500,000 input tokens per minute, shared across an organization.
Best for
- Support Ticket Routing: Classifying inbound messages into billing, shipping, or technical queues and flagging urgent ones for faster response.
- Invoice and Receipt Processing: Extracting invoice number, vendor, total, and currency from document text or images into validated fields before writing a record.
- Content Moderation and Policy Checks: Verifying whether a return request, listing, or submission satisfies a written policy before it reaches a human reviewer.
- Sentiment and Priority Scoring: Rating customer frustration on a defined scale to sort a support queue by how badly each thread needs attention.
- Entity Recognition in Records: Pulling people, organizations, claim IDs, and dates out of free-text notes for search and record matching.
- Agent Tool Calls: Giving an LLM agent a fast, cheap decision primitive for yes/no and classification steps that do not need a generative model.
Willow on IOS
Willow Voice
Fast, context-aware speech-to-text dictation for Mac and iPhone with custom dictionaries and privacy-focused handling.
Key features
- Real-time Dictation: Converts spoken input into text on macOS and iPhone with immediate transcription for emails, documents, notes, and messages to speed up writing workflows.
- Context-Aware Processing: Uses contextual language understanding to improve accuracy and punctuation, adapting transcription to sentence structure and conversational context.
- Custom Dictionaries: Allows users to add domain-specific vocabulary, names, and technical terms so transcriptions reflect industry- or user-specific language correctly.
- Automatic Editing & Formatting: Applies automatic edits, punctuation, and formatting rules to raw transcribed text to reduce manual cleanup after dictation.
- App Integrations: Designed to work across common workflows and apps (email, documents, note-taking, messaging, and the Cursor editor) to insert transcribed text where users work.
- Privacy-Focused Handling: Emphasizes secure and private handling of voice data and transcription results to protect user information and sensitive content.
- Real-time speech-to-text dictation on iPhone and Mac
- Context-aware automatic edits to improve transcript quality
- Custom dictionaries and terminology support
- Privacy-focused operation with options for local/self-hosted inference
- Integration-ready: supports use in email, documents, note-taking, messaging, and developer workflows
- Willow Inference Server for self-hosted STT, TTS, LLM, and WebRTC inference
Best for
- Writing emails hands-free: Dictate long or short emails on Mac or iPhone to compose messages faster without switching to a keyboard.
- Meeting and lecture notes: Capture spoken content during meetings or lectures and get edited, punctuated notes ready for review and sharing.
- Document drafting and editing: Rapidly create drafts of reports, articles, or documents via voice, with automatic formatting reducing post-edit effort.
- Messaging and quick replies: Compose rapid, accurate message responses in chat and SMS apps using voice input on iPhone.
- Technical and domain-specific transcription: Use custom dictionaries to accurately transcribe industry jargon, code-related terms, names, and acronyms for developer or specialist workflows (e.g., Cursor integration).
- Accessibility and hands-free computing: Provide an accessible input method for users with mobility or dexterity impairments who need reliable speech-to-text on macOS and iOS.
- Hands-free email and document composition on iPhone and Mac
- Faster note-taking and meeting transcription
- Voice-driven messaging and chat input
- Accessibility for users needing speech input
- Enterprise/local deployment using Willow Inference Server for private on-premise transcription and TTS
- Developer integration for embedding STT/TTS/LLM capabilities into apps or real-time WebRTC flows