# data[].attributes.body
165 :one hundred sixty five.
892:eight hundred ninety two
3534:three thousand five hundred theerty four
9648:nine thousand six hundred forty eight
7000.000:seven million
6'835. 123:six million eight hundred theerty five thousand one hundred twenty three
120220: one hundred twenty thousand two hundred twenty
23450:twenty three  thousand four  hundred fifty
10520385: ten million five hundred twenty  thousand    three hundred eighty five
9000356:nine million three hundred fifty six

# data[].attributes.body
165 ONE HUNDRED SIXTY-FIVE
892 EIGHT HUNDRED AND NINETY SECOND NUMBER
3,534 THREE THOUNSAND FIVE HUNDRED THIRTY-FOUR
9,648 NINE THOUSAND SIX HUNDRED FORTY-EIGHT
7,000,000 SEVEN MILLION
6,835,123 SIX MILLION EIGHT HUNDRED THIRTY-FIVE THOUSAND ONE HUNDRED TWNTY-THREE
120,220 ONE HUNDRED TWENTY THOUSAND TWO HUNDRED TWENTY
23,450 TWENTY-THREE THOUSAND FOUR HUNDRED FIFTY
10,520,385 TEEN MILLION FIVE HUNDRED TWENTY THOUSAND THREE HUNDRED EIGHTY-FIVE
9,000,356 NINE MILLION FIVE HUNDRED THIRTY THOUSAND SIX

# data[].attributes.body
100 ONE HUNDRES.
700 eight thousand
220 three hundred thousand
50,000 six thousand
8,000 seven hundred
3,000,000 sixty thousand
6,000 fifty thousand
300,000 two hundred twenty
60,000 three million

# data[].attributes.body
Dylan Pivaque

# data[].attributes.body
165 ONe hundreb ond sixty five
892 eight hundred ninety two
3.534 thrree thousand  five  hundred thirty four
9.648 nine thooooooousannd       six hundred forty eigght
7`000.000 seven  million
6.835.123 six million eiight hundred
thirty five thousand one hundred twenty three
120.220 One hundredtwenty thousand two hundred

# data[].attributes.body
Edinson mero

# data[].attributes.body
165:one hundred sixty five
892:eight hundred nine two
3.534:three hundred five
9,648: nine thoudand seis hundred eight
7"000.000:seven million

# data[].attributes.body
165  one hundred sixte  five
892  eight  hundred   ninety  second    number
3,534  three  thousand  five hundred thirty  four
9,648  nine thousad  six  hudred  forty  eight
7`000000 seven million
6`835 .123  six  million
120.220 one  hundred twenty thousand  two hundred  twenty
23,450  two thirty  four five

# data[].attributes.body
165:one hunderd sixti five

# data[].attributes.body
One hundred sixty five

# data[].attributes.body
Joselyn pico

# data[].attributes.body
165 one hundred sixty five
892eight hundred ninety two
3.534 three thousand five  hundred thirty four
9.648 nine thousand six hundrede forty eight
7.000.000 Steven million
6.835.123 six million eight hundred thirty five one hundred tuenti three
23.450btuenty the thousand four hun
120.120 one hundred tuenti thousand one hundred  tuenti
2

# data[].attributes.body
165: one hundred sixty five
892:Eigh hundred and ninety second number
3534:THERE THOUSAND FIVE HUNDRE THIRTY-FOUR
9648: NINE THOUSAND SIX HUDRED FORTY-FOUR
7000000: SEVEN MILLION
6835123: SIX MILLION EIGHT HUNDRED THIRTY-FIVE THOUSAND ONE HUNDRED TWONTY- THEREE
120220: ONE HUNDRED TWENTY THOUSAND TWO HUNDRED TWENTY
23450: TWENTY- THEREE THOUSAND FOUR HUNDRED
10520385:
9000356:

# data[].attributes.body
Ley la tamara zambrano bernardino

# data[].attributes.body
Joselyn pico

# data[].attributes.body
David
1one

# data[].attributes.body
David Yungan

# data[].attributes.body
165 one hunded siete five
892 eight hundred ninety second

# data[].attributes.body
Ley la zambrano

# data[].attributes.body
165:one sixti one fain one

# data[].attributes.body
165 one  hundre  sixty  five

# data[].attributes.body
165 one hundre sixty five

# data[].attributes.body
3534:three thousand five hundred theerty four

# data[].attributes.body
1 one.                                                                                    10. Ten.                                                                                 220. Six. Thousand

# data[].attributes.body
892 eight hundre ninety  two

# data[].attributes.body
892:eigth hundert two

# data[].attributes.body
1 one

# data[].attributes.body
7,000,000 seven million

# data[].attributes.body
13.000. Thirteen. Thousand.                                             250. Two. Hundred. Fifty.                                                 5,000  five . Thousand                                                       5,550. Five. Thousand five. Hundred. Fifty

# data[].attributes.body
10 ten

# data[].attributes.body
3 tri

# data[].attributes.body
4 fri

# data[].attributes.body
9,648 nine thousand six hundred forty_ eight

# data[].attributes.body
6 sis

# data[].attributes.body
100000 hundre thousand
10000 ten thousand
100 hundred
1000.000 millón