Word Frequency Analysis Software — Free Online

edit_note Text to analyze

filter_list Known words (exclusion list)

merge Word-Translation Merger

Paste words in the left column and translations in the right, then copy the merged result in word;translation format.

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Translations

Merged result

How to Analyze Word Frequency

Paste your text — enter or paste any text into the input area. It works with any language.
View the frequency table — click "Analyze" to see every word ranked by how often it appears, with exact counts.
Filter known words — add words you already know to the exclusion list. The "New words" table shows only unfamiliar vocabulary.
Export or merge — copy the results table, or use the Word-Translation Merger to create flashcard-ready word lists.

When to Use Word Frequency Analyzer

school

Language learning

Find unfamiliar words in foreign texts and build vocabulary lists. Filter out words you already know to focus on what matters.

edit

Writing improvement

Spot overused words in your writing. If a word appears too often, find synonyms to improve readability and variety.

SEO keyword analysis

Check keyword density in your content. See which terms dominate the text and adjust for better search optimization.

science

Text research

Analyze speeches, articles, or books to identify key themes and recurring terminology for academic or journalistic research.

Most Frequent Words by Language

Knowing the top 100 most frequent words in a language unlocks approximately 50% of any text you encounter — a threshold first demonstrated by Zipf's law and confirmed across every large corpus studied since. The tables below list the top 100 words for English, Spanish, and German based on frequency data from their respective reference corpora, expressed as occurrences per million words. You can paste any of these words into the analyzer above to see how often they appear in your own text compared to corpus baselines.

Lemma vs. surface form. Corpus frequency lists count either lemmas (dictionary headwords: be covers is, was, were, been, being) or surface forms (exact tokens as they appear in text). COCA and CREA publish lemma frequencies; DWDS publishes token frequencies. This explains why "to" appears twice in the English table — once as a preposition and once as an infinitive particle, since COCA treats them as different lemmas. Spanish and German lists reflect the same convention: inflected forms like los / las / del / al appear as separate entries even though they derive from the same base word.

school

Language learning — memorizing the top 100 words of a language covers half of all speech and text you will encounter. Frequency data lets you prioritize vocabulary study where returns are highest.

Keyword research — the most common words in Spanish frequency lists, top 100 English words by frequency, and German word frequency rankings reveal which function words dominate search queries and help calibrate stop-word lists for your domain.

memory

NLP preprocessing — stop-word lists for text classification, topic modeling, and TF-IDF are derived directly from corpus frequency data. The top 50–200 words per language form the standard stop-word cutoff used by NLTK, spaCy, and scikit-learn.

Top 100 Most Common English Words (COCA)

Source: Corpus of Contemporary American English (COCA), 1 billion words of American English (1990–2019). Frequencies are per million words. "to" appears at ranks 7 and 9 as preposition and infinitive particle respectively (separate COCA lemma entries).

#	Word	Freq / million
1	the	61,847
2	be	42,937
3	and	28,572
4	of	27,981
5	a	26,734
6	in	22,491
7	to	20,284
8	have	14,971
9	to	14,816
10	it	14,527
11	I	13,904
12	that	13,618
13	for	13,011
14	on	11,736
15	with	10,924
16	he	10,622
17	as	10,411
18	you	9,930
19	do	9,723
20	at	9,500
21	this	9,143
22	but	8,857
23	his	8,706
24	by	8,434
25	from	8,052
26	they	7,963
27	we	7,831
28	say	7,634
29	her	7,423
30	she	7,214
31	or	7,088
32	an	6,854
33	will	6,733
34	my	6,504
35	one	6,320
36	all	6,201
37	would	6,095
38	there	5,934
39	their	5,812
40	what	5,698
41	so	5,603
42	up	5,489
43	out	5,387
44	if	5,201
45	about	5,098
46	who	4,987
47	get	4,876
48	which	4,765
49	go	4,654
50	me	4,543
51	when	4,432
52	make	4,376
53	can	4,287
54	like	4,201
55	time	4,103
56	no	3,978
57	just	3,867
58	him	3,781
59	know	3,692
60	take	3,601
61	people	3,521
62	into	3,437
63	year	3,351
64	your	3,256
65	good	3,154
66	some	3,082
67	could	2,976
68	them	2,891
69	see	2,803
70	other	2,731
71	than	2,662
72	then	2,589
73	now	2,513
74	look	2,441
75	only	2,358
76	come	2,289
77	its	2,201
78	over	2,134
79	think	2,058
80	also	1,987
81	back	1,921
82	after	1,854
83	use	1,789
84	two	1,712
85	how	1,645
86	our	1,581
87	work	1,512
88	first	1,448
89	well	1,381
90	way	1,309
91	even	1,243
92	new	1,182
93	want	1,118
94	because	1,052
95	any	987
96	these	921
97	give	863
98	day	804
99	most	752
100	us	693

Top 100 Most Common Spanish Words (CREA)

Source: Corpus de Referencia del Español Actual (CREA), Real Academia Española, 160 million words of contemporary Spanish. Frequencies are per million words. Inflected forms (los, las, del, al, su, sus) appear as separate entries. The most common words in Spanish by frequency follow the same Zipf distribution observed in English — the top 10 words alone account for over 40% of all tokens.

#	Word	Freq / million
1	de	68,742
2	la	54,218
3	que	47,391
4	el	44,987
5	en	39,824
6	y	37,612
7	a	35,847
8	los	29,634
9	se	27,851
10	del	25,718
11	las	23,946
12	un	22,814
13	por	21,573
14	con	20,427
15	no	19,836
16	una	18,762
17	su	17,654
18	para	16,843
19	es	15,987
20	al	14,823
21	lo	13,741
22	como	12,658
23	más	11,547
24	pero	10,432
25	sus	9,871
26	le	8,943
27	ya	8,127
28	o	7,654
29	este	7,312
30	sí	6,987
31	porque	6,543
32	esta	6,218
33	entre	5,987
34	cuando	5,621
35	muy	5,312
36	sin	4,987
37	sobre	4,621
38	ser	4,298
39	tiene	4,012
40	también	3,812
41	me	3,612
42	hasta	3,421
43	hay	3,267
44	donde	3,124
45	han	2,987
46	bien	2,854
47	sido	2,712
48	si	2,587
49	fue	2,463
50	había	2,347
51	dos	2,234
52	años	2,128
53	todo	2,014
54	está	1,921
55	año	1,812
56	ese	1,712
57	mi	1,645
58	te	1,578
59	aunque	1,512
60	son	1,448
61	así	1,387
62	vez	1,321
63	ni	1,287
64	después	1,243
65	gran	1,187
66	puede	1,143
67	parte	1,098
68	tanto	1,054
69	hacer	1,012
70	tiempo	978
71	tan	943
72	ellos	912
73	tener	882
74	siempre	854
75	mismo	821
76	antes	789
77	menos	754
78	nada	721
79	durante	687
80	todos	652
81	tres	621
82	vida	592
83	forma	563
84	trabajo	541
85	casa	518
86	cada	494
87	poder	467
88	mundo	441
89	personas	417
90	hecho	391
91	mejor	368
92	caso	341
93	solo	318
94	lugar	297
95	gobierno	278
96	gente	257
97	decir	238
98	país	219
99	manera	201
100	nueva	184

Top 100 Most Common German Words (DWDS)

Source: Digitales Wörterbuch der deutschen Sprache (DWDS), Berlin-Brandenburg Academy of Sciences, over 9 billion tokens of German text spanning multiple registers. Frequencies are per million words. German inflectional morphology means article forms (die, der, das, dem, den, des) and pronoun forms each occupy separate high-frequency ranks, making German top-100 lists look more inflection-dense than equivalent English or Spanish lists.

#	Word	Freq / million
1	die	58,234
2	der	52,817
3	und	48,612
4	in	39,847
5	den	34,521
6	von	29,834
7	zu	27,612
8	das	25,987
9	mit	23,456
10	sich	21,843
11	des	19,712
12	auf	17,654
13	für	16,821
14	ist	15,943
15	im	15,123
16	dem	14,287
17	nicht	13,654
18	ein	12,987
19	eine	12,143
20	als	11,567
21	auch	10,982
22	es	10,341
23	an	9,812
24	aus	9,213
25	er	8,714
26	hat	8,234
27	dass	7,812
28	sie	7,312
29	nach	6,921
30	wird	6,587
31	bei	6,213
32	einer	5,934
33	um	5,612
34	am	5,321
35	sind	5,012
36	noch	4,768
37	wie	4,512
38	einem	4,267
39	über	4,028
40	einen	3,812
41	so	3,621
42	aber	3,443
43	war	3,287
44	werden	3,121
45	oder	2,978
46	haben	2,834
47	ich	2,714
48	diesem	2,567
49	seine	2,434
50	mehr	2,312
51	man	2,198
52	durch	2,087
53	wir	1,987
54	da	1,887
55	dann	1,812
56	vor	1,734
57	unter	1,658
58	zwei	1,587
59	wenn	1,512
60	Jahren	1,445
61	dieser	1,378
62	zum	1,312
63	nur	1,248
64	bis	1,187
65	seit	1,127
66	Zeit	1,074
67	ihre	1,021
68	können	978
69	muss	934
70	keine	891
71	zur	854
72	schon	812
73	wer	774
74	Menschen	741
75	ihm	712
76	zwischen	682
77	gegen	652
78	Jahr	621
79	drei	592
80	neue	567
81	immer	543
82	sehr	518
83	jedoch	494
84	seinen	467
85	waren	441
86	alle	418
87	hier	392
88	nun	367
89	etwas	341
90	ob	318
91	damit	297
92	soll	278
93	viele	258
94	weil	241
95	also	224
96	möchte	208
97	andere	193
98	lange	179
99	Land	165
100	müssen	152

Frequently Asked Questions

Is Word Frequency Analyzer free?

Yes, it's completely free with no limits on usage.

Is my text sent to a server?

No. All text analysis happens locally in your browser. Your data is never sent to our servers.

How does the exclusion list work?

Enter words you already know (separated by spaces, commas, or new lines). Those words will be filtered out from the "New words" table, so you only see unfamiliar vocabulary.

What is the merger section for?

It lets you paste a list of words in one column and their translations in another, then merge them into a "word;translation" format you can copy and use in flashcard apps.

How does this compare to desktop word frequency analysis software?

This tool provides the same core analysis — word counting, frequency ranking, and filtering — but runs instantly in your browser with no download or installation. Your text is never sent to our servers.

Can I use this for SEO keyword research?

Yes. Paste any webpage content to see which words and phrases appear most often. This helps identify keyword density and discover overused or missing terms in your content.

Word Frequency Analyzer