Bridging the gap between paper & pixels.
We believe data shouldn't be trapped in static documents. FormFlow was built to liberate your information and make it actionable instantly.
Collaboration First
Our headquarters in San Francisco.
Pages converted
Countries served
Built by engineers who hate data entry
It started in a university research lab in 2021. Our founders, facing stacks of thousands of physical survey responses, realized that existing OCR tools were great at reading text but terrible at understanding structure.
They built FormFlow to not just "read" documents, but to "understand" them—recognizing the difference between a multiple-choice question and a Likert scale, and mapping it perfectly to the tools modern teams use: Google Forms.
Semantic AI
Context-aware field detection
Privacy Core
Zero-retention policy
import tensorflow as tf
from google_api import Forms
# Initializing OCR model v4.2
model = VisionEncoder.load('weights.h5')
doc = model.parse('survey.pdf')
> Detecting layout structure...
> Found 12 multiple choice questions
> Found 3 text inputs
> Generating Google Form ID: 1xK9...
Why we focus on Google Forms
We could have built our own form builder. Instead, we chose to integrate with the tool you already know and trust.
Universal Access
Billions of users already have a Google account. There is zero friction for your respondents or your team.
Native Sheets Sync
Data flows instantly into Google Sheets, enabling real-time pivot tables, charts, and analysis without export buttons.
Enterprise Security
By outputting to Google, you inherit Google's world-class security infrastructure, IAM controls, and compliance.
Meet the builders
A small, distributed team passionate about productivity.
Marcus Thorn
Co-Founder & CEO
Alicia Vance
Co-Founder & CTO
David Chen
Head of Product
Sarah O'Connor
Lead Engineer
Success Stories
Digitalizing patient intake for City Hospital
How a 500-bed hospital reduced wait times by 40% by converting paper intake forms to pre-arrival digital surveys.
Stanford Research Dept saves 200 hours
Converting 20 years of archival survey data into analyzable Google Sheet formats for a longitudinal study.