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November 8, 2026 · 12 min read · by Aashirvad Kumar
The most useful Amazon India keyword tool free of cost is Amazon.in itself: the search bar's autocomplete, the titles and bullets of listings that already sell in your category, and, once your brand is enrolled in Brand Registry, the search term data in Brand Analytics. Hindi and Hinglish spellings belong on a separate list of terms to test, because Amazon does not publish how its search handles them.
The usual story goes like this. A seller in Jaipur lists cotton kurtis, searches Google for an Amazon India keyword tool free of cost, and lands on advice written for amazon.com shoppers, with American spellings and no sign of the words Indian buyers actually type. A whole weekend goes into a keyword list that misses "kurti set" and every Roman-letter Hindi spelling, and the listing stays buried. This guide is the India-specific version of the method: free sources only, what Amazon documents versus what you have to test, and where the Devanagari byte cost bites. For the marketplace-wide version of the same process, see how to generate Amazon keywords for free.
Key takeaways
An Amazon India keyword tool free of cost gives you a list of candidate words, not proof that those words sell, so treat every free source as a way to collect ideas and amazon.in's own search results as the judge. None of the Amazon pages this guide relies on publish search volumes for Hindi or Hinglish words, and no number in this post is a search volume. Where you see a number, it is a byte count or a quote from Amazon.
Rank the free sources by how much Amazon itself says about them. Autocomplete and competitor listings are both recommended in Amazon's own seller guides. Brand Analytics is Amazon's own search data, but it comes with eligibility conditions. Hinglish spellings have the least documentation: Amazon has shown it cares about everyday Indian words, yet it has not said how its text search matches them to English listing terms. That order decides how much weight each list gets when space in your title runs out, and the fields themselves are weighed up in where Amazon keywords actually count.
Scope, so you know what this guide does not cover: paid keyword tools, PPC keyword research, and Flipkart or Meesho search terms. Those need their own methods. Everything below works with a browser, a spreadsheet and your Seller Central account.
Type a seed word into the amazon.in search bar and copy every suggestion that appears, because Amazon says those suggestions come from what customers often search for. Amazon's keyword research guide on its US seller site puts it plainly: "Start typing a keyword related to your product, and Amazon will show you auto-complete suggestions." It adds that "These suggestions are based on what customers often search for, giving you insight into popular keywords." That guide is written for the US store, so run the same steps on amazon.in itself, where the suggestions you collect are the ones amazon.in shows its own shoppers.
Work through it in this order, and keep a spreadsheet with one column per source so you can see later where each word came from:
Type slowly: suggestions change with every letter, so "kurti s" and "kurti se" can show different lists. Screenshot each list with the date, so you can compare when you repeat the exercise next season.
Collecting the list is quick; sorting it takes judgement. Remove any suggestion that names another brand, because it describes a product you do not sell, and mark the suggestions that match your product exactly so they get first claim on the title. If you want a faster first draft before you open the search bar, a free Amazon keyword generator can turn a short product description into a starting list that you then check against amazon.in.
Open the top listings that sell the same product on amazon.in and copy the words they repeat across titles, bullets and descriptions, because those are the terms other sellers have already bet on. Amazon's keyword guide recommends exactly this step: "Analyze competitor listings by reviewing the titles, bullet points, and descriptions". On amazon.in it also shows you which Hindi or Hinglish words, if any, sellers in your category already use, which is a useful signal before you add any of your own.
Read five to ten listings, not one. A word that appears in one competitor title is a guess; a word in seven of ten titles is a pattern. Note the order too, since many titles lead with the product type and material, then size and use. Do not copy whole titles or bullet points: you want their vocabulary, not their sentences, and leave out their brand names. The full read-but-do-not-copy routine is laid out in the guide to Amazon competitor listing analysis.
Label every word broad or specific as you go. A seller tips post on the Amazon.in seller blog notes that "The major and general keywords will have a lot of competition yet generate the most traffic." A new listing is more likely to show up for a specific phrase such as "cotton kurti set with dupatta" than for "kurti" alone, so keep both in your sheet and decide later which one earns a place in the title.
Yes, if your brand is enrolled in Amazon Brand Registry, Brand Analytics gives you Amazon's own search term data rather than a third party's estimate. Amazon's Brand Analytics page on its US seller site sets two conditions: "To access Brand Analytics, you need a Professional selling account." and "You also need to be a Brand Representative for a brand enrolled in Amazon Brand Registry." If you sell on an Individual plan or without a registered brand, this source is closed to you for now.
The same page describes two dashboards worth knowing. "The Search Query Performance dashboard lists keywords customers use to find your brand." And "The Top Search Terms dashboard gives a broad view of customer search activity across Amazon stores." That page is written for US sellers. For India, Amazon.in's brands page says Brand Analytics lets you "Learn More about customers, including search terms and more customer behaviour data reports...", but no Amazon page used here names the Search Query Performance dashboard for amazon.in, so check which dashboards your own Seller Central account actually shows.
If you are not in Brand Registry yet, the entry point is a trademark. Amazon.in's brands page says: "If you already have an active registered or pending trademark, you can start the enrollment process now." Check the current enrolment terms on that page before you apply, because this guide does not confirm costs or timelines. Until then, autocomplete and competitor listings remain your free sources, and together they are enough to build a first list.
Amazon's own evidence on Hinglish is thin but real: when it announced Hindi voice shopping, Amazon India gave "joote dikhao" (show me shoes) as an example of a shopper request and said it favoured "commonly used terms over perfectly translated words". The same release, dated 20 September 2021, also stated: "In 2021, more than 5 million customers shopped on Amazon.in in Indian languages". That is about voice and regional-language shopping, not typed search, so read it as a direction rather than a rule.
What Amazon has not said matters as much. It has not said that Hinglish text searches are common, that a Roman-letter spelling like "joote" is matched to an English listing that says "shoes", or that Hinglish words in your Search Terms field are indexed. So treat every Hinglish or Devanagari word as a hypothesis: add it, then check whether your listing appears when you search it, and keep it only if it does.
Build the test list from real customer language, not from a translation app. Good sources are the words buyers use in your reviews and customer questions, what your own customers say on WhatsApp or on the phone, and what autocomplete offers when you type a Roman-letter spelling. Some examples worth testing, with no search volumes attached because none are published:
Watch for collisions with English words. Some shoppers may spell joote as "jute", which is also the English name of a fibre, so a shoes listing and a jute bag listing would compete for the same word and neither shopper gets what they wanted. Skip spellings like that. If you also sell to shoppers who read Hindi, the words inside your images matter as much as the ones in your text, which is covered in the guide to product images in local languages.
Put your strongest customer words in the title and bullet points, and the remaining variants, including the spellings you are testing, in the backend Search Terms field. The same tips post on the Amazon.in seller blog, which shows no publication date, says "Your “Product Title” and “Bullet Points” are your potential keywords." The same post advises: "please try to add maximum of them (from a Customer’s point of view) at backend in the “Search Terms” tab." In practice that splits your sheet three ways:
Keep Hinglish out of the title unless your reviews show buyers really use it, because a title that mixes "joote" and "shoes" reads oddly to an English reader, and the title is the line every shopper sees first. If you want a full Hindi listing rather than a handful of Hinglish terms, ListingRVA AI writes listing copy in 50 languages including Hindi, and the trade-offs of a Hindi detail page are covered in this guide to an Amazon listing in Hindi.
A Hindi word in Devanagari usually needs two to four times the bytes of its Roman-letter spelling, so Devanagari fills the Search Terms field much faster. This is derived, not something Amazon states. RFC 3629, the UTF-8 standard, encodes every character from U+0800 to U+FFFF in three bytes, and the Unicode block list places "0900..097F; Devanagari" inside that range, while a plain Roman letter takes one byte. Vowel signs count as characters too, which is why short Hindi words still add up.
An Amazon staff reply on the Seller Central Europe forums, posted roughly three years ago, explains the field's side of it. For simple characters "one byte corresponds to one character.", while more complex characters "can correspond to two or more bytes per character." The reply adds: "For this reason, the Generic keyword field in Seller Central stops accepting inputs when the byte limit is reached." Amazon does not state in these sources which encoding the amazon.in field uses, so treat the table below as an estimate based on UTF-8.
| Word | Script | Characters | UTF-8 bytes |
|---|---|---|---|
| shoes | English | 5 | 5 |
| joote | Roman-letter Hindi | 5 | 5 |
| जूते | Devanagari | 4 | 12 |
| kurti | Roman-letter Hindi | 5 | 5 |
| कुर्ती | Devanagari | 6 | 18 |
| chappal | Roman-letter Hindi | 7 | 7 |
| चप्पल | Devanagari | 5 | 15 |
| pressure cooker | English | 15 | 15 |
| प्रेशर कुकर | Devanagari | 11 | 31 |
No published amazon.in number here: this guide does not state a byte limit for amazon.in, because the Amazon sources used here do not publish one. The field stops accepting input at its limit, so paste your terms in Seller Central and check that the last words actually went in.
The practical rule: add Devanagari words to Search Terms only when you have a reason, such as seeing them in autocomplete or in your own reviews, and spend the rest of the space on English words and Roman-letter variants. Three Devanagari words can cost as much space as eight or nine short English ones. For the current byte limit and a way to measure your field before you save, use the backend search terms byte guide.
Check each new keyword by searching it on amazon.in after your listing update has gone live and noting whether your product appears and on which page; that check is free and works for every seller. Keep the results in the same spreadsheet, one row per word, so a test spelling has a clear record before you decide to keep it or drop it.
If a word you added never brings your listing up, check the basics before blaming the word: a typo, a duplicate, a word stuck in the wrong field, or a Search Terms field that hit its limit before the last terms went in. Backend words that refuse to show up have a checklist of their own, which you can work through in the guide on backend keywords not indexing.
No Amazon India keyword tool free of cost replaces this loop of collecting, placing and checking. Repeat it every few months, and before festive seasons such as Diwali, when shoppers start typing gift and occasion words that were not in your sheet the first time.
Draft titles, bullet points and search terms in English or Hindi from the words you chose and checked. Start free with 50 credits, no credit card.
Start free →Amazon.in's search bar autocomplete is free and, according to Amazon, its suggestions are based on what customers often search for, but it shows no numbers. None of the Amazon pages used in this guide publish search volumes for Hindi or Hinglish words, so judge each term by whether your listing appears for it and whether it shows up in your reports.
Amazon has not said. Its 2021 announcement of Hindi voice shopping used "joote dikhao" as an example and said it favoured commonly used terms over perfectly translated words, but that was about voice shopping. Treat Hinglish spellings in typed search as terms to test, and keep only the ones that bring your listing up.
Only when you have evidence that buyers use them, such as autocomplete suggestions or your own reviews. Each Devanagari character takes three bytes in UTF-8 against one byte for a Roman letter (derived from the UTF-8 standard, not stated by Amazon), so Devanagari words fill the field quickly.
This guide does not state one, because the Amazon sources it uses do not publish a current number for amazon.in. An Amazon staff reply says the field stops accepting inputs when the byte limit is reached, so paste your terms in Seller Central and check that the last words went in.
No. Amazon's Brand Analytics page says you need a Professional selling account and must be a Brand Representative for a brand enrolled in Amazon Brand Registry. Amazon.in's brands page says an active registered or pending trademark is enough to start the enrolment process.
Yes, the generic words: product type, material, size and use case. Amazon recommends analysing competitor titles, bullet points and descriptions for keyword research. Do not copy their sentences, and leave out their brand names, because those describe products you do not sell.
ListingRVA AI now works inside Claude. Connect your workspace and ask Claude to generate listing copy and publish product images to your store, without leaving your editor. See the Claude connector →
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