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Description
SYNCHRO Notes and SYNCHRO Crew provide essential tools for project management, requiring only a mobile device to capture audio notes, images, videos, or written observations. Teams can access all documented project details anytime and anywhere, enhancing collaboration and transparency throughout the project's lifecycle. Users can share updates on site progress and quickly address any issues that arise, all while ensuring robust security. This platform also allows for the recording of verbal agreements, modifications to orders, and potential disruptions, creating a comprehensive record of events that is secure and time-stamped for authenticity. Unlike traditional methods, SYNCHRO Notes harnesses the advantages of voice, enabling users to capture daily insights via audio, which are then transcribed into text by a dedicated team for inclusion in daily reports. Meanwhile, SYNCHRO Crew offers users the ability to monitor their financial performance by logging hours worked, tracking personnel, and documenting the materials and equipment utilized on-site. Teams can efficiently report on workforce participation and resource usage directly from their mobile devices, ensuring that all project activities are accurately recorded and easily accessible for review. In this way, SYNCHRO enhances not only accountability but also the overall efficiency of project management.
Description
Transcribing meetings could be a tedious task in the past, but Simon Says has revolutionized this process with state-of-the-art artificial intelligence that can convert recordings into text in just minutes, and it does so at an incredibly low cost. For only $1, you can transcribe 30 minutes of audio, meaning a one-hour meeting will only set you back $2, allowing you to easily reference and share notes and follow-up actions. This convenient iOS app not only enables you to record your meetings and interviews but also transcribes these recordings, letting you view and bookmark important sections of the transcript. Moreover, you can export your transcripts in various formats, including Word and text files, to suit your needs. With Simon Says, you can focus on what truly matters, as the app takes care of the transcription, helping you discover valuable insights from your discussions. Additionally, Simon Says gained recognition when featured by Apple during their keynote event for the updated Final Cut Pro X, highlighting its significance in the tech community. To seamlessly import files from your Mac, simply download the dedicated Simon Says application available on the Mac App Store. By leveraging this innovative tool, you can make the most out of your meetings without the hassle of manual transcription.
API Access
Has API
API Access
Has API
Integrations
Box
Pricing Details
$29.99/month/user
Free Trial
Free Version
Pricing Details
$0.17/one-time
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bentley Systems
Founded
1984
Country
United States
Website
www.bentley.com/en/products/brands/Synchro-Notes-and-Crew
Vendor Details
Company Name
Simon Says
Country
United States
Website
simonsays.ai
Product Features
Construction Management
Accounting Integration
Budget Tracking/Job Costing
CRM
Change Orders
Commercial
Contract Management
Contractors
Equipment Tracking
Estimating
Incident Reporting
Mobile Access
Offline Access
RFI & Submittals
Residential
Subcontractor Management
Timesheets
Product Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition