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What is SpeechSage?

SpeechSage: Transform Your Audio into Valuable Conversations SpeechSage is an innovative solution designed for the seamless transformation of audio files into written text. But it doesn't stop there; this tool enables users to pose questions regarding the transcribed material and obtain smart, immediate responses that cater to their individual requirements. Ideal for professionals, scholars, and content developers, SpeechSage enhances efficiency by making audio content easily searchable. Our user-friendly platform converts your audio into an interactive resource, whether it involves interviews, lectures, meetings, or podcasts, allowing for deeper engagement. So, how does SpeechSage function? Step 1 - Begin by uploading your audio file. Step 2 - SpeechSage will swiftly convert the audio into text. Step 3 - Engage with the text by asking questions once the transcription is complete. Step 4 - Save and share the transcription for future reference and collaboration. Additionally, this tool empowers users to extract valuable insights from their audio content, fostering more effective communication and understanding.

What is MAXQDA?

Explore a diverse array of data types such as text, images, audio clips, videos, websites, tweets, focus group conversations, and survey data. MAXQDA is notable for being both a robust and intuitive tool, distinguishing itself as the sole leading qualitative data analysis software that delivers a completely uniform experience across both Windows and Mac operating systems. No matter the method you choose for conducting interviews in the field, MAXQDA adeptly handles all file types. You can easily bring in handwritten notes, audio and video recordings, and transcripts generated by various transcription services, along with Word or PDF documents that contain annotations and highlights. Organize your files effectively by assigning distinct colors and categorizing them according to factors like location, time, topic, or type. The built-in MAXQDA transcription feature simplifies the process of transcribing audio or video files. As you transcribe, you can promptly begin coding your data, adding memos, and paraphrasing thoughts, ensuring that your insights are documented as they come to mind. This level of adaptability positions MAXQDA as an essential tool for researchers aiming to enhance the efficiency of their data analysis workflow. Researchers will find that its comprehensive features not only save time but also facilitate a more organized approach to qualitative research.

Media

Media

Integrations Supported

Skimle

Integrations Supported

Skimle

API Availability

Has API

API Availability

Has API

Pricing Information

$5 per transcription
Free Trial Offered?
Free Version

Pricing Information

$45 per user per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SpeechSage

Company Location

Australia

Company Website

speechsage.aypeye.com

Company Facts

Organization Name

VERBI Software

Date Founded

1989

Company Location

Germany

Company Website

www.maxqda.com

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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