Dictation for social media writers
Speak the post. Get editable text.
Use a shortcut while a social text field is focused, then check names, links, hashtags and tone before you publish. This is live dictation, not automatic video captions or recorded-media transcription.
Downloaded by 150k+ users
The writing is short. The typing adds up.
The idea is ready. The text field is still blank.
A caption, post or reply is often written between everything else. Dictate a first draft where you are working, then make the publishing decisions yourself.
A caption is due and the cursor is waiting.
The image is ready on your laptop, but the caption box is empty. Say the opening line with the composer focused, then edit the draft before it goes out.
The reply needs your voice, not a canned answer.
Comments, mentions and messages need context and a final read. Dictate the first response into the focused field, then adjust the wording before you send it.
Names and hashtags are where a quick draft can go wrong.
A useful first draft still needs a check for handles, links, campaign terms and tone. OpenWhispr gives you editable text. It does not publish on your behalf.
A recording is not the same job as a live draft.
Automatic captions and recorded-audio transcription begin with media that already exists. This page is for speaking new copy into an editable field while you are writing.
Live speech, editable draft
Talk through the copy. Keep the final decision.
OpenWhispr supports a desktop dictation workflow. It can automatically paste text at the focused cursor where the operating system allows it, with a clipboard fallback when it cannot.
Dictate into the field you already opened
Start the configured shortcut while the post, caption or reply field is focused. OpenWhispr transcribes your speech and attempts to paste the text at that cursor. If automatic pasting is unavailable, the text is copied to the clipboard for you to paste.
Give recurring names a better starting point
Add brand names, campaign terms and acronyms to the custom dictionary. OpenWhispr passes those words to supported transcription and cleanup paths as hints, so your draft has less to repair before review.
Choose the processing path for the draft
OpenWhispr Cloud is the no-download option for accuracy and speed, and transcription audio is immediately discarded. Local models run on your device for offline or sensitive work. Neither choice replaces a final publishing check.
Sent to our servers
None
when you select a local transcription model, audio is transcribed on your device
Local dictation cost
$0
unlimited local AI models are included on every plan
Publishing step
Still yours
review the editable draft, then choose whether to post, send or discard it
From thought to draft
Three steps to a social draft you can review.
This desktop workflow creates text from live speech. It does not generate captions from video or transcribe a recording you upload.
Download it free.
Install OpenWhispr on macOS, Windows or Linux. Choose OpenWhispr Cloud for transcription without a local model download, or choose a local model for on-device processing.
Focus the field and dictate.
Open the post, caption or reply field you want to write in, then start your configured shortcut. OpenWhispr turns your live speech into text and pastes it at the cursor when automatic pasting is available.
Read it before you publish.
Check the text, handles, links, hashtags and tone. Edit it, paste from the clipboard if needed, then decide whether it is ready to send.
Why this workflow fits social writing
10 reasons to choose OpenWhispr for social writing
A live dictation workflow for the draft. Your review stays between the words and the post.
Start with the thought, not the keyboard.
When the post idea is clear, use the shortcut to turn live speech into an editable first draft instead of composing every word by touch.
Write where the work already is.
With a focused editable field, OpenWhispr attempts to paste the dictated text at the cursor. It does not require a named social-app integration to create the draft.
Keep the final edit in the same field.
The result is text you can shorten, rewrite or discard before publishing. That matters when a reply needs the right context and tone.
Use the clipboard fallback when automatic paste is unavailable.
OpenWhispr copies the transcript to the clipboard if it cannot paste automatically, so you can still bring the draft into the field you chose.
Add the words your account uses repeatedly.
A custom dictionary can hold names, jargon and acronyms. Those terms are supplied as hints to supported transcription and cleanup paths.
Turn false starts into readable sentences.
When you talk through a caption, the first take may include pauses and restarts. Enable AI cleanup to remove filler and fix punctuation while keeping your wording and intent. Read the result before posting.
Draft with the processing choice that fits the day.
Use Cloud for transcription without a local model download; its transcription audio is immediately discarded. For offline or sensitive drafts, download local models for both transcription and any AI cleanup you enable.
Reuse the link or closing line you already checked.
Save a recurring call to action or URL as a snippet with a spoken trigger. Say the trigger during dictation and OpenWhispr inserts the saved text, so you can reuse the wording without dictating it again.
Shorten a caption with a spoken instruction.
With Voice Assistant configured, highlight a caption in an editable desktop field and use its shortcut to ask for a shorter version. Where selection editing is supported, it replaces the highlighted text. Check the revision before publishing.
Reply in the language your audience uses.
Dictate a reply in a language supported by your selected transcription model. OpenWhispr supports 100+ languages across its options, so you can draft for different audiences without translating every reply from English. Model coverage varies.
Before you install it
Questions about dictation for social media apps
What the desktop workflow does, and what it leaves to you.
Does OpenWhispr directly integrate with social media apps?
Is this for video captions or recorded-media transcription?
Should I choose OpenWhispr Cloud or a local model?
Can I use it without paying?
Can it help with names, campaign terms and acronyms?
Can I dictate with no internet connection?
What people tell us
They tried it on their own machine and stopped typing.
These are product reviews, word for word. Read them for the desktop dictation workflow.
0
Social accounts to connect
OpenWhispr does not need a social account connection to create editable dictated text. You choose the focused field and review the copy before publishing.
Started using OpenWhispr with my local models and hardware. I have to say, this is better than typing.
I switched to voice input for my Claude Code chats. Even when I stumble and rephrase mid-sentence, the transcription comes out clean and polished.
I needed a local model for when I'm travelling or have no WiFi, and this perfectly solves it. The UI and performance are great.
Pricing
Free forever.
Upgrade when you want more.
Free $0No card details needed | Pro $6.67/user/mo$80/user billed annually Start with Pro | BusinessMost Popular $13.33/user/mo$160/user billed annually Start with Business | |
|---|---|---|---|
| Best for | People who want local desktop dictation at no cost and are happy to choose a local model | People who want unlimited OpenWhispr Cloud transcription and sync across devices | Social teams that want to ask questions across campaign notes and files while drafting posts |
| Main reason to choose | Unlimited local AI models, custom dictionary and a live dictation workflow with no local-model limit | Unlimited OpenWhispr Cloud transcription, plus sync across devices and mobile companion access | Chat over campaign notes and files, plus unlimited meeting recordings and priority support |
| Offline speech-to-textOffline speech-to-text runs entirely on your own device, it works without internet connection, and it's unlimited and free. | Included | Included | Included |
| Cloud speech-to-textCloud speech-to-text sends audio to OpenWhispr Cloud for the highest accuracy and speed, with no local models to download. | 2,000 words/week via OpenWhispr Cloud, or unlimited using your own API keys | Unlimited OpenWhispr Cloud speech-to-text | Unlimited OpenWhispr Cloud speech-to-text |
| Meeting recordings | 5 hours/month | 20 hours/month | Unlimited |
| Privacy & data handling | Offline audio stays on your device. Cloud audio is sent only to transcribe it, then never stored. | Offline audio stays on your device. Cloud audio is sent only to transcribe it, then never stored. | Offline audio stays on your device. Cloud audio is sent only to transcribe it, then never stored. |
| Setup experience | Hands-on: install app, choose local models, optionally add API keys | Easy: install app, upgrade, use unlimited cloud speech-to-text | Moderate: configure users, Agent mode, and data workflows |
| Advanced features |
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| Team management | None | None | Basic team / workflow use |
| Support | Community support | Email support | Priority support |
Need SSO, compliance features, admin controls, or dedicated support for a larger team?
We also offer a custom Enterprise plan with managed onboarding and tailored features.
Talk to us
Why we built it
The caption box is empty. Say the first line.
OpenWhispr started with an objection: talking is how people are fluent and typing is how they get stiff, and the software that turns one into the other kept routing everything through somebody else's server.
We build in public. Every release and every line of the app is on GitHub. So when we say dictation can stay on your machine, you do not have to take our word for it. You can open the file and read it.
And if anything breaks, you talk to the people who built it, in Discord.
$0 · open source · review before you publish
Speak the draft. Make the post yours.
Download OpenWhispr, choose Cloud or a local model, and dictate into the next focused text field. Check the result before you post or send it.
Download for freeFree forever on Mac, Windows & Linux.