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Taj Corinaldi Rohit Gupta Joey Khalid Kevin St. John Jenson Thomas May 8 th 2013

THE LAZY READER. Taj Corinaldi Rohit Gupta Joey Khalid Kevin St. John Jenson Thomas May 8 th 2013. Why the Lazy Reader?. Do you hate reading?. Do you love closing your eyes?. This can be you reading!. Agenda. How does it Work? (TXTs – Offline App). MUST BE TXT File.

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Taj Corinaldi Rohit Gupta Joey Khalid Kevin St. John Jenson Thomas May 8 th 2013

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  1. THE LAZY READER Taj Corinaldi Rohit Gupta Joey Khalid Kevin St. John Jenson Thomas May 8th 2013

  2. Why the Lazy Reader? Do you hate reading? Do you love closing your eyes? This can be you reading!

  3. Agenda

  4. How does it Work? (TXTs – Offline App) MUST BE TXT File Chooses file(s) to play User opens app Backend Processing: Client Side Text-to-speech conversion on Backend Readable text extracted File parsing Phone Speaks Saves as WAV on Phone for future play

  5. Technology Build (Offline App) Java code to open the file browser of the sdcard User selects the file (text) that needs to be converted to speech Java code that uses IO Buffer to read text Android TTS Synthesize To File function to Save the speech as WAV for future play Android TTS Speak function to speak out the words Android TTS Speech API to convert text to speech

  6. How does it Work? (PDFs – Online App) Cloud Processing Chooses pdf file(s) to play User opens app Converts PDF to TXT Backend Processing: Server Side Text-to-speech conversion on Backend Readable text extracted File parsing Phone Speaks Saves as WAV on Phone for future play

  7. How Online App differs from Offline? User selects the file (PDF) that needs to be converted to speech Java code to extract TEXT from PDF runs on the Amazon Servers PDF Parser extracts Text from the PDF and returns for further conversion to Speech Internet connection is established between the Java Android code and Amazon Elastic Compute Cloud instance

  8. What’s Amazing about the Lazy Reader? • Converts Text to Speech when there is

  9. What’s Amazing about the Lazy Reader? • Converts Text to Speech when there is

  10. What’s Amazing about the Lazy Reader? • Converts Text to Speech when there is • 24/7 Guarantee that PDF will be converted to Text

  11. What’s Amazing about the Lazy Reader? • Converts Text to Speech when there is • 24/7 Guarantee that PDF will be converted to Text (Our PDF Parser runs all Day/Night on the Amazon Servers)

  12. What’s Amazing about the Lazy Reader? Built the Media Player that would PLAY the stored WAV file Android Media Player API

  13. Revenue Streams The Lazy Reader will have a Freemium model in the short term and will be a marketplace in the long term Near Term Free with Ads • Convert text to speech • Will not save as WAV • Will periodically be shown advertisements Premium • All files can be saved as WAV • No ads will be shown Long Term Marketplace • Selling books as WAV and collecting fee

  14. Customer Acquisition Customer Acquisition will occur in three phases Phase 2 Phase 3 Phase 1 (In Progress) High Impact Low Low High Implementation Effort

  15. Competition Direct Competitors: Currently none with same tech, target audience, and business model. Substitutes: Products consumers currently use to solve this problem Zamzar: Upload PDF to have mp3 emailed to you. Pros: Easy to use Desktop web client Can store files Google/Apple functions: Text to speech functions built into iOS and Chrome Pros: Free and easy to use Built in to computer No connection needed (Apple) Potential Direct Competitors and Entrants: • Amazon / Audible • Zamzar • Apple/Google • Adobe • Xanedu/ECCH or other Case providers. Cons: $7 per month w/ ads Conversion takes a few hours, No mobile access Cons: No storage User must input or select text manually Cannot capture/save sound Buyers of our company:

  16. Development Milestones Achieved To Date • Founded Team • Built Android Beta Product • Presentation to class • Started Buzz January 2013 February March • Future Milestones • Finish Android App • Begin Student Outreach • Bookstore Partnership • iPhone App • Tech Conference • Ads in Coursepacks • Xanedu Partnership April May June July August September Future Product Additions • Conversion to MP3 • Web Client & Site for web access • Celebrity Readers / Voices October November December

  17. Management Chief Advisory Role • Prof. Norman White Tech Guru • KaushikPendurthi Tech Masters • Rohit Gupta • Jenson Thomas Tech Interns • Kevin St. John • Joey Khalid • TajCorinaldi “You Deserve an A!” – Prof White “Awesome! Great Work!” - TA

  18. Questions? Thoughts?

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