Best Wispr Flow alternatives in 2026

Wispr Flow is a commercial dictation product for Mac, Windows, iPhone, and Android. Linux is not listed among its official platforms. It turns speech into cleaned-up text in the app you are using.

The current USD Pro plan is $15 per user per month or $144 per year ($12 per month billed annually). Free dictation has weekly limits. Region, store, and existing subscription pricing may differ; check current pricing.

Compare where the model runs, not just whether the app is free.

Bulbul moves model inference off your device so dictation does not depend on hardware that runs a speech model comfortably.

Voice typing should work on everyday machines, not require a hardware upgrade project. Local models can be excellent on capable hardware; Bulbul removes that model-hosting decision from its default workflow.

Bulbul is a focused hosted option; local tools win when offline use or keeping audio on-device is required.

Hosted speech avoids local inference, but speed and cost depend on your workflow.

Groq documents a 216x real-time speed factor for Whisper Large v3 Turbo. This is a provider processing metric, not a Bulbul end-to-end benchmark or proof that every local model is slower. Upload time, connection quality, cleanup, service availability, and rate limits still affect when text appears.

Bulbul is free software with no subscription or Bulbul-imposed word cap. Groq has a rate-limited free tier; paid usage is billed to your own provider account. Speech transcription and text cleanup are separate requests, so speech pricing alone is not the whole cost.

Local speech avoids a per-request speech API bill after setup. Bulbul avoids asking you to buy hardware specifically for speech inference. Neither is automatically the lowest total cost for everyone.

Choose local speech if you need to dictate without internet or cannot send audio to a provider.

Bulbul avoids the local speech-model memory and inference workload. It still runs an interface, records audio, and uses the network. No comparative battery or RAM savings have been measured here. Fully local speech is the better fit for offline use or a rule that audio must stay on-device; keep cloud cleanup disabled too.

OpenWhispr cloud mode shares the off-device inference advantage. Bulbul is not uniquely able to call cloud models; its pitch is a focused Groq-first dictation workflow across supported platforms.

Groq is not permitted to train or fine-tune models on your API inputs or outputs unless you explicitly grant permission or instruct it to do so.

Section 4.2 of the Groq Services Agreement says: "Groq is not permitted to use Inputs or Outputs for training or fine-tuning any AI Model Services or other models, unless explicitly granted permission or instructed by Customer."

Groq says inference content is not retained by default. Reliability or abuse investigations can temporarily log inputs and outputs for up to 30 days, or longer when legally required. Usage metadata is always retained and does not include customer inputs/outputs.

Groq documentation says all customers can enable Zero Data Retention (ZDR) in Data Controls to prevent content retention for reliability and abuse monitoring. The legal agreement refers to eligible customers. Check your account controls and current terms; Bulbul does not automatically enable ZDR, and this is not a promise that no data of any kind is ever stored.

This gives you a privacy-conscious hosted option without hosting the speech model on your laptop. It does not make cloud speech local: audio is sent to Groq and text is sent for cleanup. If your requirement is that audio never leave the device, a fully local workflow still has an advantage.

The general Groq Privacy Policy covers account, website, and usage information; it explicitly directs API Customer Data to the Services Agreement and DPA. These API-specific terms, not a blanket privacy slogan, support this comparison.

Product facts were checked against official sources on October 9, 2026. Provider performance is not an independent app comparison benchmark.