Page 27 - SPiCE Magazine 2019_draft

26 The SPiCE Magazine • September 2019 The SPiCE Magazine • September 2019 27

Beyond Infinity the media services industry and to be a market leader in providing end-to-end services for the audiovisual

Updates on the winning projects of Infinity Awards industry worldwide”.

Only two months after its rollout, SPiCAPs gained its first client. Within nine months, its 10-member team

brought in 45,000 USD in revenue, thus “converting a simple idea into a revenue-generating model for SPi”.
InX Editor According to Ajit, SPiCAPs did not only “open a new and steady stream of revenue for SPi”, but also a new

door for extending its services to the media industry.

The InDesign XML Editor, or InX Editor, is an innovative project
In May 2018, only a year after the project’s launch, SPi Global landed a US$2 million contract with HOOQ, a
designed to eliminate InDesign limitations and simplify typesetting
leading on-demand streaming services provider. Using SPiCAPs, SPi Global will be rendering translation, sub-
XML requirements by allowing users to complete XML corrections
titling, and smart dubbing services for the company, beginning with Hindu dubbing, followed by Tamil, Telugu,
and typesetting requirements within InDesign. This also helps
Thai, and Indonesia languages in consequent phases.
prevent XML production dependency for new inserts and existing
Initially made possible by only one team member who specialized in big media, the SPiCAPs team grew into a
updates for all type of workflows including TAPS. It ranked third in
28-man group that, to date, has completed over 300 hours of subtitling in more than 20 languages and gener-
awarded projects during the Infinity Awards.
ated approximately 600,000 USD in revenue.

Gejaraj Raja, who spearheaded the project, said that winning the Infinity Awards helped enhance coordination
The team is constantly expanding and improving its processes to further accommodate media-related services
among team members and “proved that combined efforts will never go vain”. such as audio description and smart dubbing, particularly for the gaming industry.

InX Editor’s Phase I module was rolled out in June 2018 and adopted for live production projects. Based on
RoboReader
studies and feedback from production leads, Gejaraj’s team continued to refine the module and add more
features. This resulted to Phase II, a more advanced module that has been adopted by production teams
Despite the use of skilled editors, proofreading documents can be a
that utilize InDesign for typesetting. The upgrade resulted to a reduction in TAT and improvement in XML
time-consuming and error-prone task. To ensure faster turnaround
quality and earned well-deserved praise by clients.
times and greater accuracy in the process, RoboReader – an auto-
Since its implementation, InX Editor has been responsible for bringing in 30,000 entries – a number that is mated machine learning-based proofreading system - was launched
expected to rise as Phase II becomes fully implemented across all production teams in Manila and India. in 2017.

Gejaraj’s team continues to enhance the module and will soon be releasing Phase III.
A recipient of the Sao Khuê Awards, RoboReader was designed by
SPiCAPs Infinity Awards winners Bharathidasan Rajaraman, Vijayakumar

Gnanasekar and Venkatesh Soundararajan to learn from files previously proofread by humans and identify

As audiovisual content grows into a trillion-dollar industry, potential errors in a document. It also eliminates typesetting layout rules during proofreading – an important
the need for an effective and economical subtitling tool requirement for publishing clients.
becomes more important.
Since its release, RoboReader has been rolled out to three accounts and has garnered positive feedback from

In March 2017, SPiCAPs (SPi Captioning Services) was users. Using the tool, insights gathered by Operations has enhanced capabilities in deploying computer vi-
launched to provide the best quality, cost-efficient, and sion-based projects and serve as a basis for developing future projects.
time-saving subtitling services to media providers across
As one of the first machine learning tools to have been deployed in the company, the project is often used to
the globe. The tool can be utilized for any video format and
showcase SPi Global’s unsurpassed technologies and capabilities when pitching new projects to clients.
supports multiple languages.
RoboReader will soon be deployed as part of the QC suite for use in different accounts. An improved version is
Project founder Ajit Nair explains that the goal is to create a tool that will serve as SPi Global’s “launch pad into currently being developed, which will surpass existing features.