Launching today

DodoForm
Turn talking, pics, or scribbles into clean, structured data
70 followers
Turn talking, pics, or scribbles into clean, structured data
70 followers
Voice, photos, messy notes â DodoForm turns however people communicate into clean structured data. 100+ templates, AI-powered analytics, native integrations, and branded forms. Done in seconds, not minutes. 14-day Pro trial, no card.






DodoForm
the voice input angle is interesting but voice to structured data has a confidence problem. people speak in fragments, change direction mid-sentence, use filler words. curious how the AI decides what's signal versus noise when someone rambles their way through a form field
DodoForm
@ansari_adinÂ
Three things we do, in order of impact:
1. Field-aware extraction, not transcribe-then-parse. The model knows
upfront that field X expects a datetime, field Y expects a phone,
field Z is open-ended. So when someone says "yeah Tuesday-ish,
actually no, Wednesday morning works better" â the prompt is anchored
to "what's the final intended datetime?" not "what did this person
say?" Filler words and false starts get filtered as noise because
they don't match the field's schema.
2. Last-statement wins for contradictions. If someone changes
direction mid-sentence, we bias toward the most recent declarative
claim. "Email is maya at gmail â wait no, maya at acme dot com" â
maya@acme.com. This matches how humans listen too.
3. Confidence-scored confirmation step. Every extracted field comes
back with a confidence value. Above ~0.85, it auto-fills and the
respondent sees it as pre-filled (still editable). Below that, we
show "we think you meant X â is that right?" Low confidence never
silently writes wrong data; it asks.
mailX by mailwarm
100+ templates is a lot, I really want to know what has been the most popular use case of this product so far.
DodoForm
@thamibenjelloun we just went live today, so
"most popular" is still early data. But the patterns we're seeing in
beta and across early signups skew heavily toward 3 buckets:
1. Sales / CRM intake â voice memos after a call â structured deal row
(the example in our hero). This was the unexpected hit.
2. Job applications & hiring intake â resume + GitHub + essay questions
with AI parsing the messy stuff.
3. Event RSVPs â wedding, conference, team offsite. Branded themes
convert noticeably better here.
The templates list will quickly evolve based on what people
actually reach for.