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REPLACEMENT BRIEF

dictation

Can AI replace Superscribe?

EDITORIAL ANSWERKINDACurated prompt

The dictation half is genuinely solved — a hotkey, a realtime STT stream, one cleanup pass, done in a sitting, with open-source clones to fork. The product's spine is the other half: capturing live calls on your existing iPhone number takes carrier forwarding, a pooled Twilio line, and a CallKit softphone debugged against real ringing phones. And a transcript is not the product either — around it sits a workspace that files every call to the right client using your GitHub activity, then turns it into billable time, reports, and an API.

Bind a global hotkey, stream mic audio to a realtime STT API, run one LLM cleanup pass, and paste the result into whatever app has focus.

Build the personal version →

AT A GLANCE

price
$38/mo
listed annual price
$456/yr
replaceable scope
Bind a global hotkey, stream mic audio to a realtime STT API, run one LLM cleanup pass, and paste the result into whatever app has focus.
build time
one sitting (dictation only), multi-week with call capture
Build promptreviewed prompt · not run

the prompt

Curated prompt
Build me a push-to-talk dictation tool for macOS to replace Superscribe's desktop app.
Requirements:

- Swift menu bar app, SPM only, no Xcode project. A global hotkey (default: hold
  Option+Space) records while held, stops on release.
- Capture the mic with AVAudioEngine, downsample to 16kHz mono PCM, and stream it
  over WebSocket to ElevenLabs Scribe realtime (key in .env). Show partial
  transcripts in a small floating panel while I speak.
- On release, run one LLM cleanup pass over the final transcript (fix punctuation,
  drop filler words; key in the same .env), then paste it into the focused app via
  NSPasteboard + CGEvent Cmd-V and restore my previous clipboard afterwards.
- Fallback: with no ElevenLabs key, record to a temp wav and transcribe locally
  with whisper.cpp instead. Slower is fine.
- Menu bar icon shows idle/recording/transcribing states; a history window lists
  the last 20 transcripts with copy buttons, persisted to ~/Dictation/history.jsonl.
- Ad-hoc codesign for my own machine only. README documents the Microphone and
  Accessibility permission prompts and the whisper.cpp model download.
- Out of scope: live word-by-word typing into the field (paste on release only),
  Windows support, accounts and billing, and the phone-call capture product. If I
  want call notes I will upload recordings by hand.
Copy or open in an agent

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what AI can build

Bind a global hotkey, stream mic audio to a realtime STT API, run one LLM cleanup pass, and paste the result into whatever app has focus.

The prompt was editor-reviewed; no completed build is recorded.

The honest tradeoff

why people still pay

They pay to answer calls on the number clients already know, no bot and no second phone — and for every transcript to arrive already filed to the right project and counted toward the right invoice, instead of a folder of audio they triage themselves.

what you lose

call capture on your existing number (carrier forwarding into a CallKit softphone)

glitch-free live word-by-word insertion tuned per app: terminals, Electron editors, browser contenteditables

auto-filing: dictations and calls alike are matched to the right project via embeddings (enriched with GitHub repo context) plus live commit activity during the work block, so billable time lands on the right client without tagging

the workspace around the transcripts: semantic search, invoice-ready PDF reports, CRM note drafts, a public API, and an MCP server

Windows parity and signed, notarized auto-updating installers

Start with existing software

prior art · use these instead of building, if you'd rather

HandyMIT cross-platform push-to-talk dictation app in Tauri, built to be forked; covers the whole desktop core loop.↗VoiceInkGPL native Swift macOS dictation app with local whisper.cpp and per-app modes; closest open clone of the mac side.↗FreeFlowSolo-built open Wispr Flow clone; working example of cloud STT plus LLM cleanup with active-window context.↗Twilio Media StreamsOfficial docs and tutorials for streaming live call audio to STT; the happy path of the call-capture half.↗

EVIDENCE LEDGER

What this page can prove

The verdict judges replaceability. The evidence level records what DeepFeather actually checked.

Read the methodology →
evidence level
Curated prompt

The prompt was editor-reviewed; no completed build is recorded.

replacement boundaryBind a global hotkey, stream mic audio to a realtime STT API, run one LLM cleanup pass, and paste the result into whatever app has focus.

known limits · call capture on your existing number (carrier forwarding into a CallKit softphone); glitch-free live word-by-word insertion tuned per app: terminals, Electron editors, browser contenteditables

editorial reviewawaiting manual review

BUILD FEEDBACK

Did you try this build?

Report the outcome. Submissions enter a manual evidence queue and never auto-upgrade the verdict.

Superwhisper
$8.49/mo · dictationYESWispr Flow
$15/mo · dictationYESOtter.ai
$16.99/mo · meeting notesKINDA

questions

Can AI replace Superscribe?

Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: call capture on your existing number (carrier forwarding into a CallKit softphone), glitch-free live word-by-word insertion tuned per app: terminals, Electron editors, browser contenteditables. Validate the prompt against your own acceptance criteria before committing.

How much does Superscribe cost?

Superscribe is listed at about $38/month (Business Voice, checked 2026-07-30), or $456 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.

What do I lose by replacing Superscribe?

Honestly: call capture on your existing number (carrier forwarding into a CallKit softphone); glitch-free live word-by-word insertion tuned per app: terminals, Electron editors, browser contenteditables; auto-filing: dictations and calls alike are matched to the right project via embeddings (enriched with GitHub repo context) plus live commit activity during the work block, so billable time lands on the right client without tagging; the workspace around the transcripts: semantic search, invoice-ready PDF reports, CRM note drafts, a public API, and an MCP server; Windows parity and signed, notarized auto-updating installers. If any of those are load-bearing for you, keep paying.

Is there an open-source alternative to Superscribe?

Yes — Handy (MIT cross-platform push-to-talk dictation app in Tauri, built to be forked; covers the whole desktop core loop.), VoiceInk (GPL native Swift macOS dictation app with local whisper.cpp and per-app modes; closest open clone of the mac side.), FreeFlow (Solo-built open Wispr Flow clone; working example of cloud STT plus LLM cleanup with active-window context.), Twilio Media Streams (Official docs and tutorials for streaming live call audio to STT; the happy path of the call-capture half.). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.