FenwriteApp concept · Bitfuzed · 26 Oct 2026
Fenwrite
A transcriber with a fennec fox in it. Fen lies on his dune looking at you. Press record and his ears go up, he picks up his pen and writes down every word in the notebook on his tail, and he keeps track of who said what.
- Live words, with Speaker 1, 2, 3AssemblyAI streaming labels each turn as it arrives.
- A clean copy and a summary when you stopA second AssemblyAI pass fixes who-said-what; OpenAI writes the gist and to-dos.
- Everything saved, on phone, wrist and home screeniPhone and Android, an Apple Watch recorder, and widgets.
Try it: tap the apricot button on the phone. The conversation is a scripted sample; Fen is the real Higgsfield render, chained clip to clip the way the app will do it.
Morning! Ready when you are.Tap the button and I'll start listening.
Recent
Got it. Tidying up my notes…The live words stay readable while this runs.
- Clean copy from the whole recordingAssemblyAI Universal-3.5 Pro
- Who said whatSpeaker labels, plus name guesses
- Summary and to-dosOpenAI, through our Worker
Saturday market plan
The team set up Saturday's stall: a bigger bake than last time, a new six-bun box, and power for the card reader and fridge.
I think Speaker 1 is Maya, Speaker 2 is Daniel and Speaker 3 is Priya. They said so.
Decided
- 60 sourdough and 40 rye
- Cinnamon buns in boxes of six, $12
- Ask the organisers for power
To-dos
- Send the stall list to the organisers by Thursday Speaker 3
- Make the bun-box sign Speaker 3
- Book the van for 6 am Saturday Speaker 2
The character
Meet Fen
Fennec foxes have the biggest ears for their size of any fox, big enough to hear prey moving under the sand. That is the pitch for a transcriber, so Fen's ears do the acting: relaxed while he waits, straight up and turned forward while someone talks.
The home frame. Every "looking at you" clip starts and ends here. 16:9, so it fills a quarter of a phone screen edge to edge, and crops to a third without losing an ear.
- Ears
- His listening meter. Up and forward while recording, one flicks when a new voice starts.
- Eyes
- On you when he's waiting, on the page while he writes, with a glance up now and then.
- Tail
- His desk. He lies curled round it, the notebook rests on top, and the dark tip anchors the frame.
- Neckerchief
- The app's apricot. It is the one colour that still reads on a watch face or a small widget.
- Pen
- Always in his paw, so no clip has to make it appear or vanish.
How he was found
sky kepta · Plain, morningThe cream morning sky blends into a light UI. He sits off-centre and the pen isn't on the page.
neckerchief keptb · Neckerchief, middayGave him the apricot accent. The blue sky felt colder than the app.
droppedc · Reading glassesCharming, but thin glasses wobble between video frames and vanish at widget size.
body keptd · Rounder, duskThe cutest body; the tail wraps round him like a nest, which makes the best desk.Fen is d's body with b's neckerchief under a's sky. Your stock image (Dreamstime) was used only as a render-style reference, the same way as Tora's. Fen is an original character, not a copy of the stock fox.
His poses
Looking at youHome frame A: idle, wave, the app's home screen
WritingHome frame B: the whole recording
ThinkingSummary on its way
HappyNotes ready, notification art
NappingEmpty library, night, widgetsAnimation
How Fen moves
Same method as Tora: Seedance 2.5 image-to-video clips that start and end on a fixed frame. Fen has two home frames, and every clip begins and ends on one of them, so the app can chain clips without a jump.
A · Looking at you
B · Writing
The gallery loops every clip so you can watch it; in the app the one-shot clips (wave, focus, done) play once and hand over on their last frame. The clips on this page are the 480p concept renders; the app uses the 720p set, about 300 KB a clip.
- Loops run until the state changes. The switch cross-fades over 150 ms. Idle moves so little that the fade from any idle frame to the home frame isn't visible.
- One-shots hand over on their last frame, which is the next clip's first frame, so there is no cut to see.
- The camera and the dunes never move. A cross-fade only ever blends Fen, never the whole picture.
- Stills cover everything that can't play video: reduced motion, Low Power Mode, widgets, the watch and notifications.
- Flutter plays them with
video_player, keeping three decoders warm at most (current, next, idle). H.264 for Android, HEVC for iOS. These 480p clips are about 200 KB each; the 720p set should stay well under 1 MB a clip. - Nothing is lip-synced. Fen doesn't talk; he listens and writes, which keeps every clip reusable.
Added for the app (rendered at 720p)
The app
Screens
Fen takes a third of the home screen and shrinks to a quarter while recording, so the words get the room. The page under him is his notebook: warm paper, plum-ink text, one apricot button. Each speaker keeps one colour everywhere: dots, labels, owners and the waveform.
2 transcripts mention "van"
"I'll book the van for six in the morning."
"…if the van is late we lose the lift booking."
We sold out by eleven last time. Let's go up to sixty sourdough and forty rye.
And the cinnamon buns were the hit. Priya, can you price a box of six?
Twelve dollars for six feels right. I'll make a little sign for it.
I'll book the van for six in the morning.
Okay, quick one before we open. I'm Maya, for anyone new.
Right. The organisers want our stall list by Thursday.
Who's who?I guessed from what people said. Fix anything I got wrong.
Beyond the phone
Watch and widgets
Apple Watch
Record02:14Sent to your iPhone.Fen's writing it up.
- The watch records; the phone does the work. Audio is saved on the watch and sent with WatchConnectivity file transfer, the same path as Voice Journal's watch app. The phone runs the clean copy and summary.
- Phone not nearby? In v2 the watch uploads straight to our Worker over Wi-Fi or LTE.
- No live text on the wrist. The screen is too small to read a conversation, and streaming from the watch drains its battery.
- Complications: a record button, and "3 to-dos" from the last summary.
Widgets
Fen
- Widgets show stills; WidgetKit and Android widgets can't play video. Fen's pose follows the app: looking at you, happy after new notes, napping at night.
- Small: Fen and a record button. Medium: the last summary, its to-dos, Record and Open. Lock screen: a record button and the next to-do.
- Faster than a widget: a Control Center button and an Action Button shortcut through App Intents start recording without opening the app.
- Android gets the same small and medium widgets.
Under the hood
Live first, a second pass only when needed
The live pass gives you words while people talk, and AssemblyAI now revises its speaker labels before a session ends, so a recording made in one go needs nothing more. A second pass over the saved audio runs only when there was no single live session: a paused or dropped recording, a watch recording, or an imported file. Both API keys live only in our Cloudflare Worker.
While you record
- App → WorkerGet a short-lived streaming token. The Worker checks the plan's minutes and asks AssemblyAI for a temporary token, so the real key never ships in the app.
- App → AssemblyAIStream 16 kHz mono audio over the WebSocket with
speaker_labels: true. The same audio is written to a file on the phone. - AssemblyAI → AppTurns arrive labelled A, B, C. The app shows Speaker 1, 2, 3, adds a chip when a new voice appears, and plays Fen's writing loop.
- AppClose the socket on pause. Streaming is billed for every second the socket is open, silence included. Resuming opens a new session, whose speaker letters needn't match the first, so a paused recording gets the second pass.
When you stop
- AppOne live session, start to finish? Its transcript, with AssemblyAI's final speaker revision, is the transcript. The audio is squeezed to a small .m4a on the phone.
- App → Worker → AssemblyAIOtherwise, the second pass: the file goes up and Universal-3.5 Pro writes it again with consistent speakers. Offline, it waits on the phone and goes when the connection returns.
- Worker → OpenAISummary: a small GPT-5-class model returns title, gist, decisions, to-dos with owners, and names, but only names people actually said.
- AppSave, then back up. Everything is kept on the phone; signed in, the words (never the audio) are backed up to the account.
| Cost of one recorded hour | What it buys | Per hour |
|---|---|---|
| Universal-Streaming (English or multilingual) | Live words while recording | $0.15 |
| Streaming speaker labels | Speaker 1, 2, 3 live, revised before the end | $0.12 |
| OpenAI summaryAbout 15k tokens in, 1k out, small model | Title, gist, decisions, to-dos, names | ≈ $0.01 |
| A recording made in one go | ≈ $0.28 | |
| Second pass, when neededUniversal-3.5 Pro + speaker labels | Paused, dropped, watch or imported recordings | + $0.23 |
AssemblyAI list prices on 26 Oct 2026. New accounts get $50 of free credit, roughly 180 hours of recordings made in one go. A watch recording or an import skips the live pass, so it costs about $0.24 an hour.
- Saved on the phone first. Transcripts, summaries and audio live in a local database, so the library works offline.
- Account rules match the other Bitfuzed apps. Signing out backs up and then clears the phone; deleting the account wipes the cloud and the phone, after confirming who you are.
- Hybrid subscriptions. Buy without an account; a purchase made while signed in follows the account to Android and iPhone.
Decided 26 Oct 2026
What's settled
Approved. The app uses all 11 clips at 720p: idle, wave, focus, writing, glance, no-speech, done, summarising, falling asleep, napping and waking.
Pro is $9.99 a month or $79.99 a year. Free users get their first hour of recording, then buy. Free recordings are up to 10 minutes; Pro recordings up to 3 hours.
Text only: transcripts, summaries and names. Audio stays on the phone that recorded it.
English first, with AssemblyAI's multilingual streaming model already wired in behind a setting.
20 hours a month, the same as Otter Pro's 1,200 minutes, reset on the subscription's monthly date, with no rollover. A recording made in one go costs us about $0.28 an hour, so even a yearly subscriber who uses it all stays in profit after the store's cut. It's a Worker setting, so it can change without an app update.
Deploy the Worker with the AssemblyAI and OpenAI keys, create the Firebase project (for sign-in and backup), set up the App Store and Play products, and move Cloudflare Workers to the paid plan.