Log expenses hands-free via voice—syncs real-time to your mobile accounting apps.
Mobile accounting apps fail to sync expenses in real-time, forcing on-the-go freelancers to rely on inconvenient desktop access.
VoiceExpensr lets freelancers dictate expenses on-the-go ('Add $50 lunch at CafeX'), transcribes with AI, categorizes, and syncs instantly to accounting apps. Perfect for driving or multitasking, with voice confirmations and editable transcripts. No typing, no apps open—just speak and sync.
On-the-go freelancers managing expenses via mobile accounting apps
Voice-first logging with contextual AI for ultimate mobile freedom.
supportive
Record and transcribe expense dictations accurately.
Push transcribed expense to accounting app in seconds.
Extract amount, merchant, category from natural speech.
Audio playback of parsed data for approval.
Listen to past voice logs.
Record offline, sync when online.
Support non-English dictations.
Custom voice commands.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| audio_url | text | No |
| transcript | text | No |
| synced | bool | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| app_name | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| voice_log_id | uuid | No |
| amount | int | No |
Relationships:
/api/voice/transcribeUpload audio for STT
/api/expenses/sync-voiceSync parsed voice expense
/api/historyFetch voice history
1 sync app
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 3.5% | $179 | $2,148 |
| Month 6 | 1,300 | 6.5% | $2,535 | $30,420 |
Hands-free voice logging for freelancers always on the move, direct to your accounting app.
Demo in r/EntrepreneurRideShare and driving freelancer groups; free trials via TikTok shorts on 'voice expense apps'; network at local freelancer meetups.
Integrated
QB-only, limited parsing
Multi-app, advanced AI
Speech dataset from users training better parsing.
Voice AI (Whisper) maturity + rise in voice assistants 2024.
Transcription errors in noisy env
Noise cancellation + edit flow
Success: 85% parse accuracy
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